Andela Certification Paths

Summary

The .NET engineer role plays a vital role in shaping the technological landscape within the Andela Talent Network. Individuals in this capacity are pivotal in designing, developing, and maintaining robust backend systems using .NET technologies. They collaborate across teams to ensure the seamless integration of backend services, optimize system performance, and troubleshoot complex issues.

This entry-level role serves as a launching pad for .NET engineers to refine their skills, delve into specialized technologies, and advance their careers in backend engineering. Successful candidates demonstrate proficiency in .NET technologies, possess a strong grasp of backend architecture, and exhibit adept problem-solving abilities in dynamic software environments.

Key role responsibilities

• Design, develop, and maintain robust backend systems and APIs using .NET technologies.
• Collaborate with cross-functional teams to ensure effective integration of backend services.
• Optimize system performance, scalability, and reliability in .NET environments.
• Debug and troubleshoot complex issues within the backend infrastructure.
• Participate actively in code reviews to maintain coding standards and best practices.
• Stay abreast of the latest trends and advancements in .NET development.
• Provide mentorship and guidance to junior engineers, fostering growth in backend engineering expertise.

Qualifications

• A minimum of 3 years of professional experience in a .NET developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Strong proficiency in C# programming language and a deep understanding of .NET framework.
• Experience in developing backend systems and APIs with a comprehensive understanding of software development principles.
• Experience working with databases, server-side frameworks, and designing RESTful APIs in .NET environments.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

.NET Framework Backend Development

• .NET Programming Fundamentals
  • C# syntax: data types, variables, operators, and expressions
  • Exception handling
  • Object-oriented principles
  • Collections, arrays, and generics
  • Lambda expressions
  • Delegates
  • Tasks and Asynchronous methods
• Database and Persistence
  • ADO.NET
  • Entity Framework
  • LINQ (Language Integrated Query)
• Testing and Quality Assurance
  • Test-driven development (TDD)
  • Unit testing best practices
  • NUnit, MSTest, or testing frameworks.

Software Architecture and System Design

• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Design Patterns & Best Practices
  • Design patterns best practices in .NET
  • Anti-patterns and code smells
  • Design principles (e.g., SOLID)
• RESTful Web Services
  • HTTP methods (GET, POST, PUT, DELETE)
  • Creating and consuming RESTful APIs
  • Handling JSON data
• Microservices Architecture
  • Microservices concepts
  • Scalability and cloud-native
  • Event-Driven Architecture

.NET: Skills Validation

This qualification assessment tests the candidate's knowledge of .NET back-end development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• .NET Fundamentals
  • Tests candidate familiarity with .NET concepts and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• C# Code Challenge
  • Tests a developer's ability to understand requirements and implement a system that matches them. This is an itermediate-level problem, comprising the manipulation of strings and arrays, and writing a partitioning algorithm.
• .NET Code Challenge
  • By completing this challenge, the candidate has demonstrated working knowledge of ASP.NET, HTTP, requests and array manipulation. This challenge is performance-oriented: non-optimized solutions will time out upon submission.

.NET: Technical Interview

This assessment evaluates the candidate's expertise in .NET through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of .NET Framework. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• C# Code Challenge
  • This intermediate-to-advanced challenge tests the candidate's ability to understand requirements and implement a system that matches them. This problem comprises the manipulation of strings, number conversions, and dealing with collections.

Android

Summary

The Android Engineer plays a critical role in developing and enhancing mobile applications in the Andela Talent Network. This position is dedicated to crafting high-quality, performant, and user-friendly Android applications. As an Android Engineer, you will collaborate closely with cross-functional teams to deliver exceptional user experiences, optimize app performance, and resolve complex technical challenges.

This role offers a platform for experienced Android developers to excel in mobile application development and significantly impact our product offerings.

Key role responsibilities

• Design, develop, and maintain Android applications that meet high standards of quality, performance, and security.
• Create robust and scalable app architectures, following best practices and design patterns tailored to the Android platform.
• Implement user interfaces that adhere to design guidelines, ensuring a consistent and delightful user experience.
• Collaborate with back-end developers, designers, and product managers to integrate mobile apps with web services, APIs, and databases.
• Identify and resolve performance bottlenecks, memory issues, and other app aspects.
• Write unit tests and conduct thorough testing to ensure app stability. Debug and troubleshoot issues as they arise.
• Stay updated with the latest Android development trends, tools, and technologies, and apply them to improve app quality and efficiency.
• Maintain high coding standards, follow best practices, and participate in code reviews to ensure code quality and maintainability.

Qualifications

• A minimum of 3 years of professional experience in a Android developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proven experience in Android app development, with a strong application portfolio.
• Proficiency in Java/Kotlin, including familiarity with language features and libraries.
• In-depth knowledge of Android SDK, Android Studio, and related development tools.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Android Mobile Development

• Android Fundamentals
  • Activity lifecycle
  • Fragment lifecycle
  • Android components (Service, Broadcast Receiver, Content Provider)
  • User Interface (UI) components (Layouts, Views, Widgets)
• Kotlin Language
  • Core syntax, data types, and control flow structures
  • Kotlin features such as lambdas and streams
  • Memory management
  • Concurrency, including threading and coroutines
• Networking and Data Management
  • RESTful APIs (e.g., Retrofit)
  • Local data storage (e.g., Room)
  • Caching strategies
• Testing and Debugging
  • Test-driven development (TDD)
  • Unit testing best practices
  • Testing frameworks such as JUnit and Expresso
• Material Design Guidelines
  • Android's UI design principles
  • UI/UX considerations and best practices

Mobile Application Design

• Design Patterns & System Design
  • Singleton, Factory, Builder, Observer, Adapter
  • Android-specific patterns (e.g., ViewHolder, Repository)
  • Design principles (e.g., SOLID)
  • Understanding of the MVVM pattern and its implementation in Android
  • LiveData, ViewModel, Data Binding
  • Understanding of Dependency Injection (DI) principles in Android development
• Software Version Control
  • Git usage and best practices
  • Collaborative development workflows

Network Entrance Assessments

Android: Skills Validation

This qualification assessment tests the candidate's knowledge of Android mobile development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Android Fundamentals
  • This quiz tests fundamental candidate knowledge of the Android programming ecosystem.
• Kotlin Language
  • Tests candidate familiarity with Kotlin language and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• Kotlin Code Challenge
  • This is a intermediate-level classical algorithmic challenge testing the stack data structure or recursion acting as an implicit stack.

Android: Technical Interview

This assessment evaluates the candidate's expertise in Android through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Android mobile development. Their solution will be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Android Application Challenge:
  • This Android challenge asks a candidate to complete a partially built Android app using Kotlin and Jetpack Compose. They will start from pre-configured Android Studio project that contains only a few placeholder classes and need to flesh out a fully functional application with handlers and validation, then make a GET request to the API and return the result to the user. Taken together, this process comprises the bread-and-butter of many Android applications and is a great way to assess the extent to which a candidate has mastered the relevant skills.

Angular

Summary

The Angular developer role at Andela is instrumental in shaping the technological landscape by leveraging the Angular framewrok to build and enhance dynamic front-end applications. Tasked with integrating front-end components seamlessly, optimizing application performance, and collaborating across teams to solve complex challenges, Angular developers are essential contributors to software development endeavors.

This entry-level position offers Angular enthusiasts an opportunity to refine their skills, delve into cutting-edge technologies, and advance their careers in front-end development. Ideal candidates demonstrate proficiency in Angular, possess a comprehensive understanding of front-end architecture, and exhibit adept problem-solving abilities in dynamic software environments.

Key role responsibilities

• Design, develop, and maintain scalable and interactive frontend applications using Angular.
• Collaborate closely with cross-functional teams to integrate frontend components seamlessly within the application architecture.
• Implement performance optimizations to ensure fast and efficient user experiences.
• Identify and resolve frontend issues through troubleshooting and debugging techniques.
• Participate actively in code reviews to maintain coding standards, improve code quality, and advocate for best practices in Angular development.
• Stay updated on the latest advancements, trends, and best practices in Angular development.
• Offer mentorship and support to junior developers, sharing knowledge and expertise in frontend engineering principles

Qualifications

• A minimum of 3 years of professional experience in an Angular developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in Angular with a strong grasp of frontend development fundamentals.
• Hands-on experience with frontend technologies, including HTML, CSS, and JavaScript, coupled with expertise in TypeScript for building robust Angular applications.
• Familiarity with NgRx or Angular services for managing application state efficiently.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Angular Development

• Angular Fundamentals
  • Angular architecture, including modules, components, directives, and services.
  • Angular components and templates
  • Angular CLI for project setup, scaffolding, and building
  • Routing and navigation concepts
  • Forms and input validation techniques
  • Angular dependency injection and provider
• TypeScript Language
  • TypeScript syntax, including variables, data types, functions, and classes
  • TypeScript language features, including interfaces, enums, and generics
  • Decorators and their usage in Angular applications
  • Asynchronous programming with Promises and Observables
• Data Fetching and API Integration
  • Consuming REST and GraphQL endpoints
  • Data fetching and state management patterns using RxJS
• Testing and Quality Assurance
  • Angular testing utilities like TestBed and ComponentFixture
  • Write unit tests using Jasmine, Karma, and Jest
  • Testing asynchronous code, including HTTP requests and Observables
  • Unit testing best practices
• Debugging and performance optimization

Front-end Development

• User Interface Design
  • HTML5 and CSS3
  • Responsive Design
  • Cross-Browser Compatibility
• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Build Tools and Task Runners

Network Entrance Assessments

Angular Skills Validation

This qualification assessment tests the candidate's front-end development and Angular fundamentals knowledge. It comprises Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• JavaScript Fundamentals
  • Tests candidate familiarity with JavaScript language and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• Angular Code Challenge
  • This intermediate challenge exercises candidate's knowledge of a few fundamentals: event handlers, managing state, manipulating arrays and sorting.
• Angular Code Challenge
  • This intermediate-to-advanced challenge, candidates exercise a variety of event handling techniques (clicks, context menu, key presses, change listeners), accept an array of props, manage two-dimensional array state (involving pushing, splicing and unshifting) and fulfill a variety of written requirements.

Angular: Technical Interview

This assessment is designed to test your practical knowledge of frontend development using Angular. Candidates who pass this challenge are able to work with React to implement frontend web applications using TypeScript, and writing unit tests using Jest.

During the assessment, candidates will tackle a hands-on problem tailored real-world scenario in Angular development. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Angular Code Challenge:
  • This intermediate-to-advanced challenge tests a candidate's ability to interact with the DOM using event listeners, implement specific application logic cleanly, and use basic data structures and conditionals to enforce uniqueness in component state.

Summary

The C/C++ engineer role is integral within the Andela Talent Network, focusing on the development of high-performance software across various domains, including application development and embedded systems. These engineers are responsible for writing efficient, scalable, and maintainable code that meets the stringent requirements of modern software applications. They collaborate with multidisciplinary teams to build and optimize software components, ensuring the reliability and performance of critical systems.

This entry-level role offers a solid foundation for C/C++ engineers to hone their skills, explore specialized areas such as embedded systems or application development, and advance their careers in software engineering. Successful candidates will demonstrate strong proficiency in C/C++ programming, a deep understanding of low-level programming concepts, and the ability to solve complex problems in dynamic software environments.

Key role responsibilities

• Design, develop, and maintain software systems and applications using C/C++.
• Collaborate with cross-functional teams to integrate software components and ensure system-level performance.
• Optimize code for performance, memory usage, and scalability in C/C++ environments.
• Debug and troubleshoot complex issues within the software stack.
• Participate in code reviews to uphold coding standards and best practices.
• Stay updated on the latest trends and advancements in C/C++ development.
• Provide mentorship and guidance to junior engineers, promoting growth in C/C++ development.

Qualifications

• A minimum of 4 years of professional experience in a C/C++ developer role (excluding intern, freelance, and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Strong proficiency in C and C++ programming languages with a deep understanding of their core libraries.
• Experience working with low-level programming, memory management, and system-level optimization.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of data engineering challenges.
• A commitment to continuous learning and adapting to evolving data technologies.
• A collaborative and team-oriented approach to data engineering projects.

Skills Measured

C/C++ Development Fundamentals

• C/C++ Programming Syntax
  • Data types, variables, operators, and expressions
  • Control structures and loops
  • Pointers and memory management
  • Object-oriented principles (in C++)
  • Templates (in C++)
• Memory Management and Optimization
  • Dynamic memory allocation and deallocation
  • Manual memory management techniques
  • Performance optimization techniques
• Concurrency and Multithreading
  • Multithreading concepts
  • Thread synchronization
  • Mutexes, semaphores, and condition variables
• Testing and Quality Assurance
  • Test-driven development (TDD)
  • Unit testing best practices
  • Criterion, Google Test, Igloo BDD, or other testing frameworks.

Software Architecture and System Design

• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Design Patterns & Best Practices
  • Design patterns in C++
  • Anti-patterns and code smells
  • Design principles (e.g., SOLID)
• System-Level Programming
  • Low-level programming concepts
  • Interfacing with operating systems
• Continuous Integration/Continuous Deployment
  • Setting Up CI/CD Pipelines for C/C++ Projects
  • Automated Testing in CI/CD Pipelines
  • Automating deployment processes for C/C++ applications

Embedded Systems Engineers

• Embedded Systems Fundamentals
  • Microcontroller architecture and programming
  • Real-time operating systems (RTOS)
  • Interrupt handling
  • Embedded C programming
• Hardware-Software Interface
  • Communication protocols (I2C, SPI, UART)
  • GPIO handling and peripheral interfacing
  • Firmware development and debugging
• Linux-Based Embedded Systems
  • Embedded Linux Application Development
  • Real-Time Linux (PREEMPT-RT)
  • Security in Embedded Linux Systems
• Optimization and Power Management
  • Code optimization for resource-constrained environments
  • Power management techniques in embedded systems
  • Efficient memory usage
• Testing and Quality Assurance
  • Hardware-in-the-Loop (HIL) Testing
  • Integration Testing
  • Unity, Ceedling, or other embedded systems testing frameworks.

Network Entrance Assessments

C/C++: Skills Validation

This assessment tests the candidate's knowledge of C/C++ fundamentals. It comprises a series of engaging challenges designed to evaluate candidates' holistic understanding and practical proficiency in C/C++ programming.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• C/C++ Code Challenge
  • This warm-up challenge tests the candidate's ability to add functionality to existing code.
• C/C++ Code Challenge
  • This debugging challenge tests the candidate's ability to read and debug a simple multithreaded C/C++ program. The candidate needs to recognize and fix an issue in the existing codebase.
• C/C++ Code Challenge
  • This advanced challenge tests a candidate's understanding of recursive thinking, algorithms and the binary tree data structure.

C/C++: Technical Interview

This assessment evaluates the candidate's expertise in C/C++ programming through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of C/C++ development. Their solution will be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• C/C++ Code Challenge
  • This intermediate-to-advanced challenge tests the candidate's ability to understand requirements and implement a system that matches them. This problem comprises the manipulation of fundamental types and collections.

Cloud Engineering

Summary

The Cloud Engineer role is integral to the Andela Talent Network's technology initiatives, focusing on designing, implementing, and maintaining scalable cloud infrastructure solutions. Proficient in cloud platforms such as AWS, Azure, or Google Cloud, Cloud Engineers leverage their expertise in virtualization, networking, and security to architect resilient and cost-effective cloud environments.

This position offers opportunities for professionals to deepen their knowledge of cloud architecture, automation tools, and infrastructure as code practices while driving innovation and efficiency in the organization's cloud strategy.

Key role responsibilities

• Design, deploy, and manage scalable and resilient cloud infrastructure solutions using platforms such as AWS, Azure, or Google Cloud.
• Implement automation techniques for provisioning, configuration, and orchestration of cloud resources utilizing tools like Terraform, CloudFormation, or Ansible.
• Optimize cloud infrastructure performance, reliability, and cost-effectiveness through monitoring, tuning, and capacity planning.
• Ensure the security and compliance of cloud environments, implementing best practices and security controls.
• Collaborate with cross-functional teams to integrate cloud solutions into software development projects and workflows.
• Troubleshoot and resolve issues related to cloud infrastructure, networking, and deployment.
• Stay updated on industry trends, emerging technologies, and best practices in cloud engineering and architecture.

Qualifications

• A minimum of 3 years of professional experience in a Cloud Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Solid understanding of cloud computing concepts, architectures, and best practices, with hands-on experience in deploying and managing cloud services.
• Proficiency in working with cloud platforms such as AWS, Azure, or Google Cloud, including knowledge of their core services and capabilities.
• Scripting and automation skills using languages like Python, Bash, or PowerShell for infrastructure automation and management tasks.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving cloud technologies.

Skills Measured

Cloud Engineering

• Cloud Fundamentals
  • Cloud computing concepts (IaaS, PaaS, and SaaS).
  • Cloud computing vs on-premises environments.
  • Cloud cost models and pricing mechanisms for different cloud services.
• Cloud Services
  • Core cloud services such as compute, storage, networking, and databases.
  • Virtual machines, containers, and serverless computing services.
  • Storage options (object storage, block storage, and file storage), and use cases.
  • Networking concepts including virtual networks, subnets, and security groups.
• High Availability and Disaster Recovery
  • High availability and fault tolerance concepts for designing resilient cloud architectures.
  • Backup and disaster recovery strategies.
  • Cloud services and features for automated failover, load balancing, and data replication.
• Security and Compliance
  • Cloud security best practices and compliance requirements.
  • Identity and access management (IAM).
  • Encryption and data protection in transit and at rest.
  • Network security controls such as firewalls, security groups, and access control lists.
• Monitoring and Troubleshooting
  • Cloud monitoring and logging services for tracking resource utilization, performance, and operational health.
  • Troubleshooting methodologies
  • Tools for diagnosing and resolving cloud infrastructure issues.
• Automation and Orchestration
  • Infrastructure as code (IaC) concepts and tools.
  • Configuration management and Automation tools.
  • Scripting languages like Python, PowerShell, or Bash for automating repetitive tasks and workflows.

Network Entrance Assessments

Cloud Engineering: Skills Validation

This qualification assessment tests the candidate's knowledge of the Cloud Engineering. It's composed of Q&A and practical challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Cloud Architecture
  • Evaluates the candidate's knowledge of Cloud computing concepts and applications. The questions were designed as platform-agnostic and are applicable for any Cloud provider. It covers scalability, reliability, fault-tolerance, security, and cloud adoption.
• Continuous Integration/Continuous Deployment (CI/CD)
  • Evaluates the candidate's knowledge of Continuous Integration/Continuous Deployment (CI/CD). It touches upon GitHub, Jenkins, AWS and Docker, among other tools and concepts in the DevOps ecosystem.
• Networking for Cloud
  • Tests fundamental candidate knowledge of the OSI model and other foundational networking concepts. Questions are based on Cisco's CCNA: Introduction to Networking (ITN) course and summary articles from Wikipedia articles on relevant concepts.

Cloud Engineering: Technical Interview

This assessment evaluates the candidate's expertise in Cloud Engineering through a real-time challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Cloud Computing. Their solution will be verified by our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Designing a Serverless Backend Solution:
  • This challenge evaluates Cloud Engineers by simulating a real-world scenario. They are tasked with designing the cloud components of a serveless application that interacts with external services. Candidates must consider the scenario details, identify the necessary cloud services and create a simple diagram to address the designed solution.

Summary

The Data Analyst role is a key participant in shaping the data analysis landscape within the Andela Talent Network. In this capacity, individuals play a key role in analyzing, enhancing, and interpreting data to provide valuable insights. Collaborating cross-functionally, they ensure effective data integration, optimize analytical performance, and tackle intricate data-related challenges.

This entry-level position offers a platform for data enthusiasts to refine their skills, explore diverse data technologies, and advance their careers in data analysis. Successful candidates should exhibit proficiency in data analysis tools, demonstrate a deep understanding of data architecture, and showcase problem-solving abilities in dynamic data environments.

Key role responsibilities

• Be a go-to data expert and have a deep understanding of leveraging data models and assets to perform strategic analyses that help the company successfully achieve its objectives.
• Analyze, interpret, and maintain scalable and efficient data analysis processes using various tools and technologies.
• Collect, interpret, validate, and transform complex data into actionable and impactful reports, presentations, and visualizations.
• Effectively present findings to both technical and non-technical stakeholders.
• Analyze data and associated behaviors to identify trends, patterns, and opportunities for improving products/services, consumer experience, and data collection flows.
• Collaborate with cross-functional teams to ensure the seamless integration of data analysis components into the overall analytical architecture, ensuring data integrity and accuracy.
• Optimize data analysis performance, ensuring accurate and efficient insights extraction.
• Troubleshoot and resolve data-related issues, identifying and implementing effective solutions for seamless data analysis.
• Participate actively in code reviews to uphold coding standards, improve code quality, and advocate for best practices in data analysis.
• Stay abreast of the latest trends, updates, and best practices in data analysis and related technologies.
• Provide mentorship and guidance to junior data analysts, sharing insights and expertise in data analysis principles and practices.

Qualifications

• A minimum of 3 years of professional experience in a Data Analysis role (excluding intern and volunteer experience).
• A bachelor’s degree in a technology-related field, statistics, economics, business, or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in data analysis tools with a solid understanding of data analysis principles.
• Hands-on experience with data-related technologies, including databases, querying languages, and statistical analysis tools.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving data technologies.
• A collaborative and team-oriented approach to data analysis projects.
• Experience with Data Warehouse software (Snowflake, AWS Redshift, Google BigQuery, Databricks, etc.)
• Experience with Data Visualization tools (Looker, PowerBI, Tableau, etc.)
• Proficient in SQL and experience with data querying and manipulation.
• Familiarity with database design and data modeling concepts.
• Experience with data analysis using Python.
• Experience with Machine Learning algorithms and related tools is a plus.
• Experience with Google Analytics

Skills Measured

Data Analysis

• Data Preparation and Preprocessing
  • Data Cleaning Techniques and Best Practices
  • Data Standardization
  • Data Sampling
  • Data Manipulation and Transformation

• Statistical Analysis
  • Descriptive Statistics
  • Correlation Analysis
  • Hypothesis Testing and Statistical Significance
  • Probability Distributions
  • Time Series Analysis & Forecasting
  • Regression Analysis and Modeling (linear & non-linear)

• Data Interpretation and Presentation
  • Data Filtering
  • Drawing Conclusions
  • Making Recommendations
  • Presenting Insights
  • Data Visualization techniques and best practices
  • Dashboard Design
  • Charts and Graphs
  • Interactive Visualizations
  • Data Visualization Software (PowerBI, Tableau, Looker, etc)

• Data Mining
  • Pattern Recognition
  • Association Rule Learning
  • Clustering Algorithms

• Data Privacy and Ethics
  • GDPR and related laws
  • Data Privacy and Ethics concepts

SQL

• SQL queries
  • Join types
  • Subqueries
  • Aggregation with filtering and Aggregate Functions
  • Sorting
  • Set Operators
  • Common Table Expression (CTE)
  • Window Functions
  • Pivot

Python

• Python Fundamentals
  • Data Types & Variables
  • Control Flow & Loops
  • Functions & Modules
• Data Structures & Algorithms
  • Lists & Tuples
  • Dictionaries & Sets
  • Iteration & Comprehensions
• Data Manipulation
  • NumPy (Arrays & Matrices)
  • Pandas (DataFrames & Series)
  • Data Analyst
  • Regular Expressions
• Data Visualization
  • Visualization Libraries (Matplotlib, Seaborn)
  • Interactive Dashboards & Data Communication
  • Data Storytelling Techniques

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Network Entrance Assessments

Data Analysis: Skills Validation

This qualification assessment tests the candidate's knowledge of Data Analysis fundamentals. It's composed of Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met

Assessment outline:

• Data Analysis
  • This challenge evaluates the candidate's knowledge of Data Analysis concepts and practices, focused on real-world, typical use cases of the data analysis discipline. It covers data modeling, BI concepts, and data visualizations. Most questions are derived from data analysis certifications, and some are inspired by frequent data analysis interview questions.
• SQL
  • This challenge tests candidate knowledge of SQL and associated best practices. The difficulty of the questions ranges from basic to intermediate, so the challenge should be suitable for any experienced SQL practitioner. Most of the questions are derived from SQL certifications and some inspired by frequent SQL interview questions.
• SQL Code Challenge
  • This challenge tests a candidate's basic ability to utilize aggregation, JOIN and GROUP BY features. This is a straightforward challenge that is meant to evaluate specific SQL language feature knowledge.

Data Analysis: Technical Interview

This assessment evaluates the candidate's expertise in Data Analysis through a real-time challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored real-world scenario in SQL query development. Their solution will be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution

Assessment Outline:

• Data Analysis Coding Challenge (Python):
  • This is an intermediate-to-advanced-level problem that tests the candidate's skills in data analysis using a programmatic approach. The goal of this task is to process data using Python. Challenges can involve implementing plain Python algorithms, or require using specialized frameworks, like Pandas.
• Data Analysis Coding Challenge (SQL):
  • This is an intermediate-to-advanced-level problem that tests the candidate's skills in data analysis using relational databases. The task is to process the data using SQL.

Data Engineer

Summary

The Data Engineer role is a key participant in shaping the data engineering landscape within the Andela Talent Network. In this capacity, individuals play a key role in designing, implementing, and maintaining data infrastructure using cutting-edge technologies. Collaborating cross-functionally, they ensure seamless data integration, optimize system performance and tackle intricate data-related challenges.

This role, suitable for data engineering enthusiasts, offers an opportunity to refine skills, explore advanced technologies, and advance careers in data engineering. Successful candidates should demonstrate proficiency in data engineering tools, possess a deep understanding of data architecture, and showcase problem-solving abilities in dynamic data environments.

Key role responsibilities

• Design, construct, and maintain scalable and efficient data infrastructure using cutting-edge technologies.
• Collaborate with cross-functional teams to seamlessly integrate data components into the overall system architecture.
• Optimize system performance, ensuring smooth and efficient data processing and storage.
• Troubleshoot and resolve data-related issues, implementing effective solutions for data flows.
• Participate actively in code reviews to uphold coding standards, improve code quality, and advocate for best practices in data engineering.
• Stay informed about the latest trends, updates, and best practices in data engineering and related technologies.
• Provide mentorship and guidance to junior data engineers, sharing insights and expertise in data engineering principles and practices.

Qualifications

• A minimum of 3 years of professional experience in a Data Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficiency in data engineering tools with a solid understanding of data development principles.
• Hands-on experience with data technologies, including database management systems, ETL processes, and familiarity with big data frameworks.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of data engineering challenges.
• A commitment to continuous learning and adapting to evolving data technologies.
• A collaborative and team-oriented approach to data engineering projects.

Skills Measured

Data Architecture

• Data Warehouse
  • Data Warehouse concepts
  • Data Modeling
  • Data Mesh
• Data Processing
  • Batch processing and real-time processing
  • Data pipeline architecture
  • Stream Processing
  • Shuffling
  • Big Data Processing
  • Data Synchronization
  • Distributed Systems
• Data Quality
  • Data Cleansing
  • Data Validation
  • Data Profiling
• Other Data Concepts
  • Data Governance
  • Data Normalization
  • Data Catalog
  • ACID Properties in DBMS
  • NoSQL Database

SQL

• SQL queries
  • Subqueries
  • Aggregation with filtering and Aggregate Functions
  • Types of joins
  • Set Operators
  • Window Functions
  • Pivot

• Query Optimization
  • Query optimization
  • Indexing

Network Entrance Assessments

Data Engineering: Skills Validation

This qualification assessment tests the candidate's knowledge of data engineering fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• Data Architecture Fundamentals
  • This challenge tests candidate familiarity with data engineering concepts and should be suitable for mid-to-senior candidates. Most questions are derived from data engineering certifications and some inspired by frequent data engineering interview questions.
• SQL Fundamentals
  • This challenge tests candidate knowledge of SQL and associated best practices. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced engineer. Most of the questions are derived from SQL certifications and some inspired by frequent SQL interview questions.
• SQL Code Challenge
  • This challenge tests a candidate's basic ability to utilize aggregation, JOIN and GROUP BY features. This is a straightforward challenge that is meant to evaluate specific SQL language feature knowledge.
• Python Data Quality Validation Code Challenge
  • This problem statement covers checking for missing values, non-numeric values in numeric fields, and a specific pattern match in a text field. It evaluates a candidate's skills in data validation, loop iteration, conditional statements, regular expressions, data types, problem-solving, and logical thinking, which are essential for data engineers dealing with data quality assurance and validation task

Data Engineering: Technical Interview

This assessment evaluates the candidate's expertise in SQL through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored real-world scenario in SQL query development. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment Outline:

• SQL Coding Challenge (Option 1):
  • This assessment evaluates the candidate's expertise in Data Engineering through a real-time SQL challenge. This challenge has a mid-to-senior difficulty level that involves both DDL and DML instructions, and the candidate's ability to work with views.
• SQL Coding Challenge (Option 2):
  • This assessment evaluates the candidate's expertise in Data Engineering through a real-time SQL challenge. This is a senior-level assessment that explores problem-solving skills in complex database queries. It tests a developer's ability to utilize multiple SQL operations together, such as HAVING, GROUP BY, JOIN, and SELECT sub-queries. In addition, the query is designed to push a candidate's critical thinking skills.

Data Science

Summary

The Data Scientist role is a key participant in shaping the data science landscape within the Andela Talent Network. In this capacity, individuals play a key role in crafting, enhancing, and extracting insights from complex datasets. Working collaboratively across teams, they ensure effective utilization of data science methodologies, optimize analytical performance, and address intricate challenges in data interpretation. This entry-level position offers a platform for data science enthusiasts to refine their skills, explore advanced technologies, and advance their careers in the data field. Successful candidates should exhibit proficiency in data science tools, demonstrate a deep understanding of data architecture, and showcase problem-solving abilities in dynamic analytical environments.

Key role responsibilities

• Analyze, model, and maintain scalable and insightful data science solutions using advanced techniques and technologies.
• Collaborate with cross-functional teams to ensure seamless integration of data science components into the overall analytical architecture.
• Optimize analytical performance, ensuring accurate and efficient extraction of insights from complex datasets.
• Troubleshoot and resolve data-related issues, identifying and implementing effective solutions for seamless data analysis.
• Participate actively in code reviews to uphold coding standards, improve code quality, and advocate for best practices in data science.
• Stay abreast of the latest trends, updates, and best practices in data science development.
• Provide mentorship and guidance to junior data scientists, sharing insights and expertise in data science principles and practices.

Qualifications

• A minimum of 3 years of professional experience in a Data Analysis role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in data ecossystem with a solid understanding of data science principles.
• Hands-on experience with data-related technologies, including databases, querying languages, and statistical analysis tools.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of data analysis.
• A commitment to continuous learning and adapting to evolving data technologies.

Skills Measured

Probability and Statistics

• Probability
  • Probability estimation
  • Combinatorics
  • Conditional probability
  • Probability distribution
• Statistics
  • False Positive Rate
  • Statistical Tests
  • Evaluation metrics
  • Statistical measures
  • Regression Analysis

Data Science

• Data Science concepts
  • Recommendation Systems
  • Overfitting
  • Underfitting
  • Selection bias
  • Data wrangling
  • Exploratory Data Analysis (EDA)
  • Machine Learning
  • Anomaly Detection
  • Feature Engineering
  • Model Deployment
  • Data Mining
  • Big Data Technologies
  • Time Series Analysis

SQL

• SQL queries
  • Join types
  • Subqueries
  • Aggregation
  • Sorting
  • Set Operators
  • Common Table Expression (CTE)
  • Window Functions
  • Pivot

Network Entrance Assessments

Data Science: Skills Validation

This qualification assessment tests the candidate's knowledge of Data Science fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• Probability and Statistics Fundamentals
  • This challenge tests candidate familiarity with Probability and Statistics applied to Data Science. It should be suitable for mid-to-senior candidates. Most of the questions are derived from Data Science certifications and some inspired by frequent Data Science interview questions.
• Data Science Fundamentals
  • This challenge tests candidate knowledge of Data Science fundamentals and associated best practices. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced Data Scientist. Most of the questions are derived from Data Science certifications and some inspired by frequent Data Science interview questions.
• SQL
  • This challenge tests candidate knowledge of SQL and associated best practices. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced SQL practioner. Most of the questions are derived from SQL certifications and some inspired by frequent SQL interview questions.
• Pandas Code Challenge
  • This challenge involves the use of Pandas to merge two World Factbook datasets and select countries with the highest obesity rates. Candidates can merge CSVs and perform fundamental operations on dataframes such as renaming, resetting indices, merging, sorting and selecting.

Data Science: Technical Interview

This assessment is designed to test your candidate's expertise in Data Science through a real-time coding challenge.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Data Science. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment Outline:

• Data Science Coding Challenge:
  • The first challenge is is a basic Pandas problem that asks a tests basic skill in grouping and selecting. Given a simple two-column table, the candidate should find groups in columns a that have a specific value in any column b within that group.
  • The second challenge is a basic to intermediate SQL problem that asks the candidate to query sales data. It tests the candidate writing subqueries using the WITH keyword in SQL.

Database Administration

Summary

Database Administrator role is a key participant in shaping the database management landscape within the Andela Talent Network. In this capacity, individuals play a key role in designing, optimizing, and maintaining database systems. Working collaboratively across teams, they ensure effective integration of database components, optimize system performance, and address intricate challenges in data management.

This entry-level position offers a platform for database enthusiasts to refine their skills, explore advanced technologies, and advance their careers in database administration. Successful candidates should exhibit proficiency in database management systems, demonstrate a deep understanding of data architecture, and showcase problem-solving abilities in dynamic data environments.

Key role responsibilities

• Design, implement, and maintain scalable and efficient database systems.
• Collaborate with cross-functional teams to ensure the seamless integration of database components into the overall system architecture.
• Optimize database performance, ensuring reliable and efficient data management.
• Troubleshoot and resolve database issues, identifying and implementing effective solutions for seamless data operations.
• Participate actively in code reviews to uphold coding standards, improve code quality, and advocate for best practices in database administration.
• Stay abreast of the latest trends, updates, and best practices in database management and related technologies.
• Provide mentorship and guidance to junior database administrators, sharing insights and expertise in database management principles and practices

Qualifications

• A minimum of 3 years of professional experience in a Database Administrator role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in database management systems with a solid understanding of data administration principles and features of database softwares.
• Hands-on experience with database technologies, including SQL, data modeling, and familiarity with various database management tools.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of database administration.
• A commitment to continuous learning and adapting to evolving technologies in the database management domain.
• A collaborative and team-oriented approach to database administration projects.

Skills Measured

Relational Databases

• Database concepts
  • Database Normalization
  • NoSQL Databases
  • Change Data Capture (CDC)
  • Normalization
  • Indexing
• Database features
  • Database triggers
  • Database indexes
  • Database replication
  • Transaction log
  • Sharding
  • Partitioning

Database Administration

• Database Administration
  • Scalability
  • Database Security
  • High Availability
  • Disaster Recovery
  • Failover Configuration
  • Performance Analysis and Tuning
  • Troubleshooting
  • Backup Types
  • Data migration
  • Data Transformation
  • Index Maintenance

Network Entrance Assessments

Database Administration: Skills Validation

This qualification assessment tests the candidate's knowledge of Database Administration fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• Relational Databases
  • This challenge tests candidate familiarity with relational databases and database administration concepts and practices. It should be suitable for mid-to-senior candidates. Most of the questions are derived from Database certifications and some inspired by frequent Database Administration interview questions.
• Database Administration
  • This challenge tests candidate knowledge of database administration concepts and how you deal with real-world scenarios. Question difficulty ranges from intermediate to advanced, so the challenge should be suitable for any experienced engineer. Most of the questions are derived from Database certifications and some inspired by frequent Database Administration interview questions.
• SQL Challenge
  • This challenge involves creating a query to calculate how many hours each department has clocked per day. Candidates will use key intermediate SQL concepts including subqueries, grouping, dates and aggregation.

Database Administration: Technical Interview

This assessment evaluates the candidate's expertise in skills related to Database Administration through a real-time challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to real-world scenarios. Their solution may be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers will step in to assess the overall efficiency of the candidate's solution.

Assessment Outline:

• SQL Coding Challenge (Option 1):
  • The first challenge in this assessment is a basic problem that asks the candidate to query to count races in a table containing demographic information. They'll need understanding of aggregate functions to solve this challenge.
  • The second challenge in this assessment is an intermediate problem. Given sales departments, the candidate will check if a sale exists over a certain price. It tests whether candidates can match rows from a subquery.

DevOps

Summary

The DevOps Engineer role plays a crucial part in the Andela Talent Network's software development endeavors, focusing on optimizing the efficiency and reliability of the organization's infrastructure and deployment pipelines. With a blend of expertise in software development, system administration, and automation tools, DevOps Engineers spearhead the implementation of continuous integration and delivery practices, streamline deployment processes, and ensure the scalability and security of cloud-based environments.

This role offers a gateway for professionals to deepen their understanding of cloud technologies, containerization, and orchestration frameworks, while contributing to the seamless operation of software delivery pipelines within the network.

Key role responsibilities

• Implement and manage continuous integration and delivery pipelines to streamline software deployment processes.
• Design and maintain scalable and secure cloud infrastructure using tools like AWS, Azure, or Google Cloud Platform.
• Automate infrastructure provisioning and configuration management tasks using tools like Terraform, Ansible, or Chef.
• Monitor system performance, availability, and security, and respond to incidents promptly.
• Collaborate with development teams to ensure smooth integration of DevOps practices into the software development lifecycle.
• Continuously improve and optimize infrastructure and deployment processes for efficiency and cost-effectiveness.
• Stay abreast of emerging technologies and best practices in DevOps, cloud computing, and automation.

Qualifications

• A minimum of 3 years of professional experience in a DevOps role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Strong understanding of DevOps principles and practices, including continuous integration, continuous delivery, and infrastructure as code.
• Proficiency in using DevOps tools such as Docker, Kubernetes, Jenkins, Git, and Ansible for automating deployment, scaling, and management of infrastructure.
• Proficiency in scripting languages like Bash, Python, or Ruby, and experience with automation tools such as Jenkins or GitLab CI.
• A commitment to continuous learning and adapting to evolving DevOps technologies

Skills Measured

DevOps Engineering

• DevOps Principles and Practices
• Containerization and Orchestration
  • oDocker containers and their use cases.
  • Container orchestration tools like Kubernetes.
• Continuous Integration and Continuous Delivery (CI/CD)
  • Implementation and management of CI/CD pipelines.
  • CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
  • Automation of software delivery processes for cloud-based applications.
• Infrastructure as Code (IaC)
  • IaC tools like Terraform, AWS CloudFormation, or Azure Resource Manager templates.
  • Declarative and imperative approaches to infrastructure management.
• Monitoring, Logging, and Performance Optimization
  • Configuration and utilization of monitoring and logging tools for cloud-based applications.
  • Understanding of performance optimization techniques for cloud infrastructure.
  • Experience with autoscaling and load balancing to maintain application performance.
• Networking Fundamentals:
  • Basic networking concepts like VPC, subnetting, and routing.
  • Configuration and management of network resources in cloud environments.
  • Troubleshooting network connectivity issues in cloud-based applications.
• Scripting languages (like Bash, PowerShell, Python, or Ruby)
• Version Control Systems and Collaboration
  • Git for version control and collaboration.
  • Branching strategies and workflows for collaborative software development.
  • Integration of version control systems with CI/CD pipelines and deployment workflows.

Cloud Computing

• Cloud Computing Concepts and Services
  • Cloud computing models (IaaS, PaaS, SaaS).
  • Core cloud services offered by AWS, Azure, and GCP.
  • Cloud deployment models (public, private, hybrid).
• Cloud-Native Services and Architectures
  • Configuration and management of cloud-native services for scalability and resilience.
  • Designing and deploying microservices architectures in cloud environments.
  • Serverless computing and managed services offered by cloud providers.
• Cloud Security Best Practices
  • Cloud security fundamentals, including IAM, encryption, and network security.
  • Security controls and compliance standards in cloud environments.

Network Entrance Assessments

DevOps: Skills Validation

This qualification assessment tests the candidate's knowledge of the DevOps ecosystem. It's composed of Q&A and practical challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Continuous Integration/Continuous Deployment (CI/CD)
  • Evaluates the candidate's knowledge of Continuous Integration/Continuous Deployment (CI/CD). It touches upon GitHub, Jenkins, AWS and Docker, among other tools and concepts in the DevOps ecosystem.
• Kubernetes
  • This challenge ensures candidates are familiar with Kubernetes commands, concepts and ecosystem.
• Terraform
  • This challenge offers a variety of questions related to HashiCorp's Terraform tool. Candidates seasoned with the tool should perform well, while those less experienced will likely struggle to complete the quiz satisfactorily.
• Scripting Challenge
  • This is an intermediate-level scripting challenge that involves keeping frequency state in a data structure, reading text files and manipulating strings.

DevOps: Technical Interview

This assessment evaluates the candidate's expertise in DevOps tools and applications through a real-time challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of DevOps. Their solution will first be verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment Outline:

• Deploying a Microservice Application:
  • This challenge is designed to comprehensively evaluate DevOps engineers by simulating a real-world scenario. Candidates are tasked with deploying a microservices-based application composed of two services, each in its separate folder with clear installation and run instructions. They must dockerize the services, set up a container orchestration platform, and establish CI/CD pipelines for automated deployments.

Digital Project Manager

Summary

The Digital Project Manager role plays a pivotal role in shaping the success of digital initiatives within the Andela Talent Network. In this crucial position, individuals are instrumental in crafting, enhancing, and sustaining impactful digital projects. Working collaboratively across teams, they ensure the seamless integration of various digital components, optimize project performance to meet goals, and resolve intricate challenges that arise throughout the project lifecycle.

This dynamic role provides a platform for digital enthusiasts to hone their leadership skills, explore diverse technologies, and propel their careers in digital project management. Successful candidates exhibit proficiency in project management methodologies, demonstrate a deep understanding of digital ecosystems, and showcase exceptional problem-solving skills in dynamic environments.

Key role responsibilities

• Design, build, and oversee successful digital projects from inception to launch.
• Collaborate with cross-functional teams, including designers, developers, and marketing, to ensure seamless integration of various digital components.
• Optimize project performance by managing resources, timelines, and budgets to deliver projects on time, within scope, and meeting user needs.
• Troubleshoot and debug challenges that arise throughout the project lifecycle, identifying and implementing effective solutions to maintain project momentum.
• Actively participate in project reviews to uphold project standards, enhance quality, and promote best practices in digital project management.
• Stay abreast of the latest trends, technologies, and best practices in digital marketing, project management, and relevant fields to inform project strategies. Provide mentorship and guidance to junior project team members, sharing expertise and fostering a collaborative and learning environment.

Qualifications

• Minimum of 3 years of professional experience in a project management role, or relevant field (excluding intern and volunteer experience).
• A bachelor's degree in business, marketing, communications, or equivalent work experience.
• Excellent spoken and written communication skills with the ability to effectively communicate with diverse stakeholders.
• Proficient in project management methodologies with a solid understanding of digital ecosystems and marketing principles.
• Hands-on experience with project management tools, and familiarity with agile methodologies.
• Strong analytical and problem-solving skills with a data-driven approach to decision-making.
• A commitment to continuous learning and staying abreast of emerging trends in digital marketing, project management, and relevant technologies.
• A collaborative and team-oriented approach to project leadership, fostering effective communication and alignment across diverse teams.

Skills Measured

Project Management

• Project Management
  • Project Financial Analysis
  • Project Workflow efficiency
  • Third party communication and expectation handling
  • Ethics
  • Quality Assurance
  • Project Documentation
• Project Planning
  • Scope Definition
  • Work Breakdown Structure
  • Scheduling
• Resource Management
  • Team Allocation
  • Budgeting
  • Time Tracking
• Stakeholder Communication
  • Client Meetings
  • Status Reporting
  • Conflict Resolution
• Risk Management
  • Risk Identification
  • Risk Mitigation
  • Contingency Planning

Agile

• Scrum
  • Scrum meetings
  • ScrumMaster responsibilities
  • Tasks prioritization
  • Product Backlog management
  • Scrum processes
  • Management of multiple teams code
  • Definition of Done
  • Story Points
  • Communication with stakeholders
  • Sprint Reviews
  • Story acceptance criteria
  • Software testing techniques

Situational Judgement

• Situational Judgement
  • Customer support
  • Handling customer dissatisfaction
  • Circumstance analysis
  • Better inform stakeholders
  • Tactfully provide negative feedback
  • Proactivity
  • Handling urgent situations
  • Documenting important points

Network Entrance Assessments

Project Manager: Skills Validation

This qualification assessment tests the candidate's knowledge of Project Management fundamentals. It's composed of Q&A challenges that evaluate the candidate theoretical and practical knowledge.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• Project Management Fundamentals
  • This challenge tests candidate familiarity with Project Management fundamentals and should be suitable for mid-to-senior candidates. Most questions are inspired by Project Management certifications and frequent Project Management interview questions.
• Agile
  • This assessment is designed to evaluate your familiarity and expertise in Agile environments and methodologies, which are essential for success in agile related positions. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced Agile professional. Most of the questions are inspired by Agile certifications and frequent Agile interview questions.
• Situational Judgement
  • This assessment is designed to gauge how the candidate navigates various scenarios. It tests the candidate's ability to choose the most appropriate action in workplace situations. It was designed to assess how the candidate would deal with real-world situations that involve decisions about prioritization, handling conflicts, and more.

Flutter

Summary

The Flutter Developer holds a critical role within the Andela Talent Network, focused on creating robust and innovative cross-platform mobile applications. This position is instrumental in leveraging Flutter's capabilities to deliver seamless and visually appealing user interfaces across various devices and platforms. As a Flutter Developer, you will collaborate closely with multidisciplinary teams to architect, develop, and deploy cutting-edge mobile solutions.

Joining our team offers experienced developers an exciting opportunity to pioneer the next generation of mobile experiences and contribute significantly to our product portfolio.

Key role responsibilities

• Design, develop, and maintain cross-platform mobile applications using Flutter framework, ensuring high-quality, performance, and security standards.
• Architect scalable and efficient app structures, employing appropriate design patterns and Flutter's widget library to optimize application performance.
• Create visually appealing and intuitive user interfaces across different platforms, adhering to design guidelines and principles of user experience.
• Collaborate with backend developers, designers, and product managers to integrate mobile apps with backend services, APIs, and databases seamlessly.
• Diagnose and resolve technical issues related to app performance, compatibility, and functionality across various devices and platforms.
• Implement comprehensive testing strategies, including unit tests and integration tests, to ensure app stability and reliability.
• Keep abreast of the latest developments in Flutter and mobile app development, incorporating new features, tools, and techniques to enhance app quality and efficiency.
• Uphold coding standards, participate in code reviews, and contribute to continuous improvement initiatives to maintain codebase quality and readability.

Qualifications

• A minimum of 3 years of professional experience in a Data Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Demonstrated expertise in Flutter app development with a portfolio showcasing successful cross-platform mobile applications.
• Proficiency in Dart programming language, including a deep understanding of language features, syntax, and standard libraries.
• Thorough understanding of Flutter framework, including its widget library, navigation, state management, and platform integration capabilities.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects

Skills Measured

Flutter Mobile Development

• Flutter Fundamentals
  • Flutter framework architecture
  • Flutter widgets and their usage
  • Managing app state using setState, Provider, or similar approaches
  • Navigation in Flutter apps, including routing and page transitions
  • Responsive and adaptive layouts using Flutter's layout widgets
• Dart Language
  • Core syntax, data types, control flow structures, and error handling
  • Object-oriented programming concepts
  • Collections (lists, maps, sets) and iterators
  • Asynchronous programming in Dart, including Futures, Streams, and async/await syntax
• Platform Integration
  • Integration with platform-specific features, such as camera, location, sensors, etc.
  • Platform channels and method channels for communication with native code
  • Firebase services integration, including analytics, authentication, cloud messaging, etc.
  • Accessing and manipulating device hardware features and sensors using Flutter plugins
• Testing and Debugging
  • Test-driven development (TDD)
  • Unit testing best practices

Mobile Application Design

• Design Patterns & System Design
  • Design Patterns applied to Flutter
  • Design principles (e.g., SOLID)
• Mobile Development Best Practices
  • Security best practices for mobile app development, including data encryption, secure storage, and user authentication
  • Performance optimization techniques for mobile apps, including code optimization, lazy loading, and image compression
  • Design principles and guidelines for creating intuitive and visually appealing interfaces
• Software Version Control
  • Git usage and best practices
  • Collaborative development workflows

Network Entrance Assessments

Flutter: Skills Validation

This qualification assessment tests the candidate's knowledge of Flutter mobile development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Flutter Fundamentals
  • Tests candidate's fundamental knowledge of the Flutter programming ecosystem.
• Dart Language
  • Tests candidate familiarity with Dart language and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• Dart Code Challenge
  • This is a intermediate-level classical algorithmic challenge testing a candidate's ability to manipulate a hash-like structure.

Flutter: Technical Interview

This assessment evaluates the candidate's expertise in Flutter through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Flutter and mobile development. Their solution will first be verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment Outline:

• Dart Code Challenge
  • This is a intermediate-level classical algorithmic challenge testing a candidate's ability to work with 2d arrays.

Golang

Summary

The Golang developer role at Andela's Talent Network is instrumental in driving forward our technical initiatives. These developers are responsible for architecting, implementing, and optimizing scalable backend solutions using the Go programming language. Collaborating closely with cross-functional teams, they ensure the seamless integration of backend services, optimize system performance, and troubleshoot intricate technical challenges.

This role serves as an entry point for Golang developers to hone their skills, explore advanced techniques, and progress within the backend engineering domain. Successful candidates exhibit a strong command of Go programming, possess a deep understanding of backend architecture, and showcase exceptional problem-solving capabilities within dynamic software landscapes

Key role responsibilities

• Architect, develop, and maintain scalable backend solutions and APIs using the Go programming language.
• Collaborate with cross-functional teams to ensure smooth integration of backend services.
• Optimize system performance, scalability, and reliability of backend infrastructure.
• Diagnose and resolve complex technical issues within the backend systems.
• Participate actively in code reviews to uphold coding standards and promote best practices in Go development.
• Stay abreast of the latest advancements and industry best practices in Golang backend development.
• Provide mentorship and guidance to junior developers, fostering their growth in backend engineering.

Qualifications

• A minimum of 3 years of professional experience in a Golang developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficiency in Go programming language with a solid understanding of back-end development concepts and best practices.
• Experience working with databases, server-side frameworks, and RESTful APIs in Go.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Golang Backend Development

• Go Language
  • Basic syntax and concepts
  • Pointers and memory management
  • Goroutines and channels
  • Synchronization primitives: Mutexes, WaitGroups, and Atomic operations
• Data Persistence
  • Working with databases in Go (e.g., SQL databases, NoSQL databases)
  • CRUD operations using database/sql package or ORMs like GORM
• HTTP Servers and Routing
  • Creating HTTP servers using the standard library
  • Handling HTTP requests and responses
  • Routing and middleware implementation
• Error Handling and Debugging:
  • Error handling techniques in Go
  • Logging strategies and best practices
• Testing and Quality Assurance
  • Test-driven development (TDD)
  • Unit testing best practices
  • Writing unit tests and integration tests for Go applications.

Software Architecture and System Design

• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• RESTful Web Services
  • HTTP methods (GET, POST, PUT, DELETE)
  • Creating and consuming RESTful APIs
  • Handling JSON data
• Security Architecture and Best Practices:
  • Authentication and authorization
  • Preventing common security vulnerabilities (e.g., SQL injection, cross-site scripting)
  • Secure communication over HTTPS
• Microservices Architecture
  • Microservices concepts
  • Scalability and cloud-native
  • Event-Driven Architecture

Network Entrance Assessments

Golang: Skills Validation

This qualification assessment tests the candidate's knowledge of Golang back-end development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Go Fundamentals
  • This challenge tests candidate skills with Go language fundamentals, including: channels, goroutines, concurrency patterns, error handling, web development, and best practices. It starts with conceptual questions and progresses to scenario-based problems, which evaluates the candidate's hability to use such concepts to solve real-worl problems.
• Go Debugging Challenge
  • This debugging challenge tests candidate ability to read and debug a small Go algorithm function. The candidate needs to recognize and fix an issue in the codebase.
• Go Code Challenge
  • This intermediate-to-advanced challenge tests candidate's ability to work with arrays of objects, a typical data structure. They'll filter the array of objects and perform light date manipulation to determine which elements meet a specific condition.

Golang: Technical Interview

This assessment evaluates the candidate's expertise in Go through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Go back-end development. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment Outline:

• Go Code & Debugg Challenge:
  • This intermediate-to-advanced challenge mixes characteristics of implementation and debugging challenges, by testing a candidate's ability to add a new functionality to a system and identify and fix issues with the existing codebase.

Interaction Designer

Summary

The Interaction Designer role plays a key participant in shaping the user experience within the Andela Talent Network. In this position, individuals are instrumental in designing, refining, and championing user-centric and engaging interactions across web and mobile applications. Working collaboratively across teams, they ensure seamless integration of user interactions into the overall product architecture, optimizing usability and performance.

This entry-level role provides a platform for design enthusiasts to hone their skills, explore diverse interaction patterns, and progress their careers in user experience design. Successful candidates exhibit proficiency in interaction design principles, demonstrate a deep understanding of user-centered design methodologies, and showcase exceptional problem-solving skills in dynamic user experience environments.

Key role responsibilities

• Design, prototype, and iterate on user-centric and engaging interactions for web and mobile applications.
• Collaborate with cross-functional teams, including developers, researchers, and product managers, to ensure seamless integration of user journeys into the overall product architecture.
• Optimize user experience and usability by conducting research, testing prototypes, and analyzing user data.
• Troubleshoot and debug usability issues, identifying and implementing effective solutions to improve user flows and interactions.
• Participate actively in design reviews and critiques to uphold design standards, enhance user experience, and promote best practices in interaction design.
• Stay abreast of the latest trends, updates, and best practices in user experience design, user research methods, and interaction patterns.
• Mentor and guide junior designers, sharing insights and expertise in user-centered design methodologies and interaction design principles.

Qualifications

• Minimum of 3 years of professional experience in design, user experience (UX), or interaction design role (excluding intern and volunteer experience).
• A bachelor's degree in design, human-computer interaction (HCI), or a related field, or equivalent work experience with a strong focus on user experience.
• Excellent spoken and written English communication skills with the ability to effectively collaborate with diverse stakeholders and present design ideas clearly.
• Proficient in core user experience design principles and methodologies, including user research, prototyping, and usability testing.
• Hands-on experience with design tools and software, such as Figma, Sketch, and prototyping tools. Strong problem-solving skills, attention to detail, and a user-centric mindset focused on creating intuitive and engaging experiences.
• A commitment to continuous learning and staying abreast of the latest trends and best practices in user experience design and interaction design.
• A collaborative and team-oriented approach to working with cross-functional teams, including developers, researchers, and product managers.

Skills Measured

Product Design

• UI Design
  • Design flaws
  • Proportion
  • Attention to details
  • Harmonious designs
  • Wireframing
  • Prototyping
  • Branding
  • Navigation Design
  • Content Organization
  • Visual Hierarchy
  • Typography
  • Color Theory
  • UI elements
  • Form Validation
  • Error Handling
  • Accessibility
• User Experience
  • Usability tests
  • Design for best user experience
  • User experience best practices

User Research

• User Research
  • User Interviews
  • Surveys
  • Personas
  • User Feedback Analysis
  • Test Scenarios

Product Management Fundamentals

• Product Management Fundamentals
  • A/B testing
  • User flow analysis
  • Usability test
  • Customer discovery process

Network Entrance Assessments

Interaction Designer: Skills Validation

This qualification assessment tests the candidate's knowledge of Product Design fundamentals. It's composed of Q&A challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• Product Design Fundamentals
  • This challenge tests the candidate's familiarity with Product Design and should be suitable for mid-to-senior candidates. Most questions are derived from frequent Product Design interview questions.
• Product Management Fundamentals
  • This challenge tests candidate familiarity with Product Management fundamentals and should be suitable for mid-to-senior candidates. Most questions are inspired by Product Management certifications and frequent Product Management interview questions.

Java

Summary

The Java Backend Engineer role is a pivotal contributor to software development initiatives in the Andela Talent Network. This position revolves around the design, development, and maintenance of backend systems and APIs using Java. They collaborate cross-functionally to ensure seamless integration of backend services, optimize system performance, and troubleshoot complex issues. This network-entry role offers an opportunity for Java experts to further refine their skills, delve into specialized technologies, and advance their careers in backend engineering.

Key role responsibilities

• Design, develop, and maintain backend systems and APIs using Java.
• Collaborate with cross-functional teams for seamless integration of backend services.
• Optimize system performance, scalability, and reliability.
• Debug and troubleshoot complex issues within the backend infrastructure.
• Participate in code reviews to uphold coding standards and best practices.
• Stay updated with the latest trends and best practices in Java backend development.
• Mentor junior engineers and share expertise in backend engineering.

Qualifications

• A minimum of 3 years of professional experience in a Java Backend Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Strong proficiency in Java and a deep understanding of backend development principles.
• Experience with databases, server-side frameworks, and RESTful API design.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Java Backend Development

• Core Java Fundamentals
  • Data types, variables, and operators
  • Exception handling
  • Object-oriented principles
  • Java collections and common operations
  • Java streams and functional programming
• Database and Persistence
  • JDBC and database connectivity
  • ORM concepts (JPA)
• Multithreading and Concurrency
  • Thread creation and management
  • Synchronization and locks
  • Asynchronous programming
• Testing and Quality Assurance
  • Test-driven development (TDD)
  • Unit testing best practices
  • JUnit and testing frameworks

Software Architecture and System Design

• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Design Patterns & Best Practices
  • Design patterns best practices in Java
  • Anti-patterns and code smells
  • Design principles (e.g., SOLID)
• RESTful Web Services
  • HTTP methods (GET, POST, PUT, DELETE)
  • Creating and consuming RESTful APIs
  • Handling JSON data
• Microservices Architecture
  • Microservices concepts
  • Scalability and cloud-native
  • Event-Driven Architectur

Network Entrance Assessments

Java: Skills Validation

This assessment tests the candidate's knowledge of Java fundamentals. It comprises a series of engaging challenges designed to evaluate candidates' theoretical and practical proficiency in Java. Each challenge focuses on a subject area and includes Q&A sections covering concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Java Fundamentals
  • Tests candidate familiarity with Java concepts and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• SCM & Git
  • Evaluates the candidate's knowledge and familiarity with git with a focus on the command line application.
• Design Patterns & System Design
  • Checks candidate's familiarity with design patterns and system design principles.
  • This challenge contains conceptual and practical questions about design patterns and SOLID principles.
• Microservices Architecture
  • This challenge tests the candidate's knowledge of microservice and SOAP web services architectures. It covers REST vs. SOAP, Microservice architecture and distributed services communication.
• Java Code Challenge
  • Tests a developer's ability to understand requirements and implement a system that matches them. This is an itermediate-level problem, comprising the implementation of a state-machine class. No specific framework is required for this challenge.

Java: Technical Interview

This assessment evaluates the candidate's expertise in Java through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Java. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Java Coding Challenge (Option 1):
  • This is an intermediate-to-advanced-level problem, comprising a parser class implementation. No specific framework is required for this challenge.
• Java Coding Challenge (Option 2):
  • This is an senior-level assessment used for interviews for more specialized roles, focused on coding skills. It's composed of two different challenges:
    • Spring Boot debug: This challenge helps validate that candidates can quickly get up to speed with a Spring codebase and apply a bug fix. The challenge is designed such that candidates who are familiar with Spring Boot should be able to solve it in short order, while candidates unfamiliar with Spring Boot either won't be able to solve it at all, or will only be able to solve it with extensive research and time.
    • Java Streams API: This challenge is designed to test the candidate's ability to use the Streams API by extending the functionality with a custom generator implementation

Machine Learning

Summary

The Machine Learning Engineer role is a key participant in shaping the data science landscape within the Andela Talent Network. In this position, individuals are instrumental in crafting, enhancing, and sustaining machine learning applications. Working collaboratively across teams, they ensure the effective integration of machine learning components, optimize application performance, and resolve intricate challenges.

This entry-level role provides a platform for machine learning enthusiasts to hone their expertise, explore niche technologies, and progress their careers in data science. Successful candidates exhibit proficiency in machine learning, demonstrate a deep understanding of data science architecture, and showcase problem-solving skills in dynamic software environments.

Key role responsibilities

• Design, build, and maintain scalable and efficient machine learning applications.
• Collaborate with cross-functional teams to ensure the seamless integration of machine learning components into the overall application architecture.
• Optimize application performance, ensuring a smooth and efficient user experience.
• Troubleshoot and debug machine learning issues, identifying and implementing effective solutions.
• Participate actively in code reviews to uphold coding standards, enhance code quality, and promote best practices in machine learning development.
• Stay abreast of the latest trends, updates, and best practices in machine learning and software development.
• Provide mentorship and guidance to junior developers, sharing insights and expertise in machine learning engineering.

Qualifications

• A minimum of 3 years of professional experience in a Machine Learning Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in machine learning with a solid understanding of data science principles.
• Hands-on experience with machine learning technologies, including data preprocessing, model development, and familiarity with machine learning libraries.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of machine learning engineering.
• A commitment to continuous learning and adapting to evolving technologies in the machine learning domain.
• A collaborative and team-oriented approach to projects.

Skills Measured

Machine Learning

• Machine Learning Basics
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
• Data Preprocessing
  • Data Cleaning
  • Feature Scaling
  • Feature Engineering
• Deep Learning
  • Neural Networks
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
• Natural Language Processing (NLP)
  • Tokenization
  • Word Embeddings
  • Named Entity Recognition (NER)
• Model Deployment
  • Model Deployment
  • API Integration
  • Model Monitoring
  • Model efficiency
  • ML pipeline
  • Apache Airflow
  • Containerization and orchestration
  • Model versioning
• Machine Learning concepts
  • Overfitting
  • Classification models
  • Oversampling and under sampling
  • Regression models
  • Model selection
  • Data drift

SQL

• SQL queries
  • Join types
  • Subqueries
  • Aggregation with filtering and Aggregate Functions
  • Sorting
  • Set Operators
  • Common Table Expression (CTE)
  • Window Functions
  • Pivot

Network Entrance Assessments

Machine Learning: Skills Validation

This qualification assessment tests the candidate's knowledge of Machine Learning Engineering fundamentals. It's composed of Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• Machine Learning Fundamentals
  • This challenge is designed to assess the knowledge and skills of mid-senior engineers in Machine Learning. It consists of questions about Machine Learning fundamentals, including concepts and features, as well as practical questions exploring scenarios Machine Learning engineers typically find in real-world applications.
• SQL
  • This challenge tests candidate knowledge of SQL and associated best practices. The question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced SQL practioner. Most of the questions are derived from SQL certifications and some inspired by frequent SQL interview questions.
• Pandas Code Challenge
  • This challenge involves the use of Pandas to merge two World Factbook datasets and select countries with the highest obesity rates. Candidates can merge CSVs and perform fundamental operations on dataframes such as renaming, resetting indices, merging, sorting and selecting.

Machine Learning: Technical Interview

This assessment is designed to test the candidate's practical knowledge of Machine Learning Engineering. Candidates who pass this challenge are able to work with Machine Learning to implement Machine Learning models.

During the assessment, candidates will tackle a hands-on problem tailored to real-world scenarios in Machine Learning Engineering. Their solution will be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers will step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Machine Learning Challenge (Option 1):
  • This is an intermediate-to-advanced-level problem that asks the candidate to write a function to remove outliers from a data set. They'll need to remove the outliers from the dataset given a cutoff passed as a parameter to the function together with the original dataset.
• Machine Learning Coding Challenge (Option 2):
  • The first challenge is is a basic Pandas problem that asks a tests basic skill in grouping and selecting. Given a simple two-column table, the candidate should find groups in columns a that have a specific value in any column b within that group.
  • The second challenge is a basic NumPy challenge which tests comfort with ndarrays and masking. The candidate should chop the tops off an array in NumPy.

Node.js

Summary

The Node.js backend developer role at Andela represents a critical role in driving innovation and efficiency in our technological ecosystem. Individuals in this capacity are instrumental in designing, implementing, and optimizing scalable backend solutions using Node.js. They collaborate closely with cross-functional teams to ensure seamless integration of backend services, enhance system performance, and resolve intricate technical challenges.

This entry-level position serves as an excellent opportunity for Node.js enthusiasts to hone their expertise, explore emerging technologies, and advance their careers in backend engineering. Successful candidates demonstrate a deep understanding of Node.js, proficiency in backend architecture, and a knack for problem-solving in dynamic software environments.

Key role responsibilities

• Design, develop, and maintain backend systems and APIs using Node.js.
• Collaborate with cross-functional teams to ensure smooth integration of backend services.
• Optimize system performance, scalability, and reliability within Node.js environments.
• Debug and troubleshoot complex issues arising in the backend infrastructure, leveraging Node.js tools and techniques.
• Participate actively in code reviews to enforce coding standards and implement best practices specific to Node.js development.
• Stay abreast of the latest trends and advancements in Node.js backend development, continuously enhancing skills and knowledge.
• Provide mentorship and guidance to junior engineers, sharing expertise and fostering growth in backend engineering within Node.js frameworks.

Qualifications

• A minimum of 3 years of professional experience in a Node.js backend developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Strong proficiency in Node.js and a comprehensive understanding of backend development principles.
• Proven experience with databases, server-side frameworks, and proficient in designing RESTful APIs within Node.js environments.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Node.js

• Fundamentals of Node.js development
  • Node.js architecture and event-driven programming model
  • Core Node.js modules and their functionalities
  • Node.js application setup and configuration
  • NPM (Node Package Manager) and package.json file
• JavaScript / TypeScript Programming
  • JavaScript syntax, data types, and control flow structures
  • JavaScript features, including arrow functions, closures, destructuring assignments and template literals.
  • A synchronous programming using Promises and async/await
  • TypeScript types and type annotations
• Data Access and Storage
  • Database connectivity in Node.js (Mongoose or Sequelize)
• Express.js Framework
  • HTTP protocol and its implementation in Node.js
  • Routing, middleware, and error handling in Express.js
• Testing and Quality Assurance
  • Test-driven development (TDD)
  • Unit testing best practices
  • Testing frameworks such as Mocha, Chai, or Jest

Software Architecture and System Design

• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Design Patterns & Best Practices
  • Design patterns best practices in Node.js
  • Anti-patterns and code smells
  • Design principles (e.g., SOLID)
• RESTful Web Services
  • HTTP methods (GET, POST, PUT, DELETE)
  • Creating and consuming RESTful APIs
  • Handling JSON data
• Microservices Architecture
  • Microservices concepts
  • Scalability and cloud-native
  • Event-Driven Architecture

Network Entrance Assessments

Node.js: Skills Validation

This qualification assessment tests the candidate's knowledge of Node.js back-end development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• JavaScript Fundamentals
  • Tests candidate familiarity with JavaScript language and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• Node.js Code Challenge
  • By completing this challenge, the candidate has demonstrated experience with modeling data access layers.
• Express.js Code Challenge
  • By completing this challenge, the candidate has demonstrated working knowledge of ASP.NET, HTTP, and requests. This challenge is performance-oriented: non-optimized solutions will time out upon submission.

Node.js: Technical Interview

This assessment evaluates the candidate's expertise in Node.js through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Node.js development. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution

Assessment outline:

• JavaScript Code Challenge:
  • This intermediate-to-advanced challenge tests candidate's ability to work with arrays of objects, a typical data structure. They'll filter the array of objects and perform light date manipulation to determine which elements meet a specific condition

PHP Engineer

Summary

The PHP Backend Engineer role is a key participant in shaping the software development landscape within the Andela Talent Network. In this position, individuals are instrumental in crafting, enhancing, and sustaining backend applications using PHP. Working collaboratively across teams, they ensure the effective integration of backend components, optimize application performance and resolve intricate challenges.

This entry-level role provides a platform for PHP enthusiasts to hone their expertise, explore niche technologies, and progress their careers in backend development. Successful candidates exhibit proficiency in PHP, demonstrate a deep understanding of backend architecture, and showcase problem-solving skills in dynamic software environments.

Key role responsibilities

• Design, build, and maintain scalable and efficient backend applications using PHP.
• Collaborate with cross-functional teams to ensure the seamless integration of backend components into the overall application architecture.
• Optimize backend performance, ensuring a smooth and efficient user experience.
• Troubleshoot and debug backend issues, identifying and implementing effective solutions.
• Participate actively in code reviews to uphold coding standards, enhance code quality, and promote best practices in PHP development.
• Stay abreast of the latest trends, updates, and best practices in PHP and backend development.
• Provide mentorship and guidance to junior developers, sharing insights and expertise in backend engineering.

Qualifications

• A minimum of 3 years of professional experience in a PHP Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in PHP with a solid understanding of backend development principles.
• Hands-on experience with backend technologies, including database management systems, server-side frameworks, and familiarity with API development.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of backend engineering.
• A commitment to continuous learning and adapting to evolving technologies in the PHP backend development domain.
• A collaborative and team-oriented approach to backend engineering projects.

Skills Measured

PHP

• PHP Language concepts and features
  • Syntax
  • Variables
  • Data Types
  • Sorting
  • File handling
  • Error and exception handling
  • Operators
  • Anonymous functions (closures)
  • Array manipulation
  • Private properties
  • Class static property
  • Class Extension
  • Static Function
  • Sensitive configuration data management
  • Redirection
  • String manipulation
• PHP Frameworks
  • Laravel
  • Symfony
  • CodeIgniter
• Security
  • XSS Prevention
  • CSRF Protection
  • Input Validation
• Software Development concepts
  • Object-Oriented Programming (OOP) concepts
  • Regular expressions

Database

• SQL
  • Join types
  • Subqueries
  • Aggregation
  • Sorting
  • Operators
  • Common Table Expression (CTE)
  • Window Functions
  • Pivot

‍

Network Entrance Assessments

PHP: Skills Validation

This qualification assessment tests the candidate's knowledge of backend development and PHP fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• PHP Fundamentals
  • This challenge tests candidate familiarity with PHP and should be suitable for mid-to-senior candidates. Most of the questions are derived from PHP certifications and some inspired by frequent PHP interview questions.
• SQL
  • This challenge tests candidate knowledge of SQL and associated best practices. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced SQL practioner. Most of the questions are derived from SQL certifications and some inspired by frequent SQL interview questions.
• PHP Code Challenges
  • The first challenge of this assessment involves debug code which should interleave values in a nested array structure. Candidates will read and debug existing code. Should pass the inplace sort array by reference rather than by copy.
  • The second challenge of this assessment involves creating ASCII art by arranging the words in a string in a cascade pattern. This is an intermediate level problem that requires the candidate to do string and array manipulation.

PHP: Technical Interview

This assessment is designed to test your practical knowledge of backend development using PHP. Candidates who pass this challenge are able to work with PHP to implement backend applications using PHP.

During the assessment, candidates will tackle a hands-on problem tailored real-world scenario in PHP development. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• PHP Coding Challenge (Option 1):
  • The first challenge of this assessment is an basic-to-intermediate problem that involves writing a GET request to hit an API and determine if a word is misspelled. It tests a key skill: whether a candidate can make a HTTP request in PHP, parse the JSON response and grab a value from it.
  • The second challenge of this assessment is a debugging problem. The candidate shoud correct the PHP function so that it returns the expected results.
• PHP Coding Challenge (Option 2):
  • This is an intermediate-level problem that evaluates the candidate's competency to write a function that will parse markdown headers written in ATX style and return the appropriate HTML output. The purpose of this challenge is to assess a candidate's skills with regular expressions. The solution should be a fairly simple regular expression which will show that the candidate understands the basic concepts. Ideally capturing groups, the escape and wildcard character, and both lazy and numeric quantifiers will be utilized.

Product Manager

Summary

The Product Manager role sits at the heart of shaping innovative solutions within the Andela Talent Network. In this crucial position, individuals are instrumental in conceptualizing, refining, and championing successful products. Working collaboratively across teams, they ensure product vision aligns with business goals, optimize user experience, and navigate complex challenges to drive impact. This dynamic role provides a platform for product enthusiasts to hone their strategic thinking, explore emerging trends, and propel their careers in product development. Successful candidates exhibit a keen understanding of market needs, demonstrate strategic product vision, and showcase exceptional communication and collaboration skills in fast-paced environments.

Key role responsibilities

• Conceptualize, build, and champion impactful products that address market needs and align with business goals.
• Collaborate with cross-functional teams, including engineering, design, and marketing, to ensure seamless integration of features into the overall product strategy.
• Optimize user experience by gathering user feedback, driving product iterations, and measuring product success through key metrics.
• Solve user problems and navigate complex challenges with analytical thinking and data-driven decision-making.
• Identify and prioritize new product opportunities by staying abreast of emerging trends and conducting thorough market research.
• Share product vision and roadmaps with stakeholders, securing buy-in and alignment across teams.

Qualifications

• Minimum of 3 years of professional experience in a product management role or relevant field (excluding intern and volunteer experience).
• A bachelor's degree in business, marketing, product management, or equivalent work experience.
• Excellent spoken and written communication skills with the ability to effectively communicate with both technical and non-technical audiences.
• Demonstrated understanding of market needs and user experience principles.
• Hands-on experience with product development methodologies, such as Agile and Design Thinking.
• Strong analytical and problem-solving skills with a data-driven approach to decision-making.
• A commitment to continuous learning and staying abreast of emerging trends in technology and the target market.
• A collaborative and team-oriented approach to product development, fostering effective communication and alignment across various stakeholders.

Skills Measured

Product Management

• Product Strategy
  • Market Analysis
  • Competitive Analysis
  • Vision Setting
• User Research
  • User Interviews
  • Surveys
  • Personas
• Product Development
  • Roadmapping
  • Feature Prioritization
• Product Lifecycle Management
  • Requirements Gathering
  • Prototyping
  • Launch Planning
• Cross-Functional Collaboration
  • Stakeholder Management
  • Team Leadership
  • Communication Skills
• Data Analysis
  • Metrics Tracking
  • Data Interpretation
  • A/B Testing
• User Experience (UX) Design
  • Wireframing
  • Usability Testing

Agile

• Scrum
  • Scrum meetings
  • ScrumMaster responsibilities
  • Tasks prioritization
  • Product Backlog management
  • Scrum processes
  • Management of multiple teams code
  • Definition of Done
  • Story Points
  • Communication with stakeholders
  • Sprint Reviews
  • Story acceptance criteria
  • Software testing techniques

Situational Judgement

• Situational Judgement
  • Customer support
  • Handling customer dissatisfaction
  • Circumstance analysis
  • Better inform stakeholders
  • Tactfully provide negative feedback
  • Proactivity
  • Handling urgent situations
  • Documenting important points

Network Entrance Assessments

Product Manager: Skills Validation

This qualification assessment tests the candidate's knowledge of Product Management fundamentals. It's composed of Q&A challenges that evaluate the candidate theoretical and practical knowledge.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• Product Management Fundamentals
  • This challenge tests candidate familiarity with Product Management fundamentals and should be suitable for mid-to-senior candidates. Most questions are inspired by Product Management certifications and frequent Product Management interview questions.
• Agile
  • This assessment is designed to evaluate your familiarity and expertise in Agile environments and methodologies, which are essential for success in product related positions. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced Agile professional. Most of the questions are inspired by Agile certifications and frequent Agile interview questions.
• Situational Judgement
  • This assessment is designed to gauge how the candidate navigate various scenarios. It tests the candidate's ability to choose the most appropriate action in workplace situations. It was designed to assess how the candidate would deal with real-world situations that involves decisions about prioritization, handling conflicts, and more

Python

Summary

The Python Backend Engineer role is a key participant in shaping the software development landscape within the Andela Talent Network. In this position, individuals play a key role in designing, developing, and maintaining scalable backend applications using Python. Collaborating across teams, they ensure the effective integration of backend components, optimize application performance, and address complex challenges in backend development.

This entry-level role provides a platform for Python enthusiasts to refine their expertise, explore advanced technologies, and progress their careers in backend development. Successful candidates exhibit proficiency in Python, demonstrate a deep understanding of backend architecture, and showcase problem-solving skills in dynamic software environments.

Key role responsibilities

• Design, develop, and maintain scalable and efficient backend applications using Python.
• Collaborate with cross-functional teams to ensure the seamless integration of backend components into the overall application architecture.
• Optimize backend performance, ensuring reliable and efficient data processing.
• Troubleshoot and debug backend issues, identifying and implementing effective solutions for seamless application functionality.
• Participate actively in code reviews to uphold coding standards, improve code quality, and advocate for best practices in Python backend development.
• Stay abreast of the latest trends, updates, and best practices in Python and backend development.
• Provide mentorship and guidance to junior developers, sharing insights and expertise in backend engineering.

Qualifications

• A minimum of 3 years of professional experience in a Python Backend Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in Python with a solid understanding of backend development principles.
• Hands-on experience with backend technologies, including database management systems, server-side frameworks, and familiarity with API development.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of backend engineering.
• A commitment to continuous learning and adapting to evolving technologies in the Python backend development domain.
• A collaborative and team-oriented approach to backend engineering projects.

Skills Measured

Python Development

• Python
  • Syntax
  • Control Structures
  • Sorting
  • Lambda function
  • Data Structures
  • Optimization
  • List Comprehension
  • File Handling:
  • Exception Handling
• Python Frameworks
  • Flask
  • Django
  • FastAPI
• Testing
  • Unit Testing
  • Test-Driven Development (TDD)
• Software Development concepts
  • Object-Oriented Programming (OOP) concepts
  • Regular expressions
  • RESTful APIs
  • Time/Space complexity analysis
  • Database
• SQL
  • Join types
  • Subqueries
  • Aggregation
  • Sorting
  • Operators
  • Common Table Expression (CTE)

Network Entrance Assessments

Python: Skills Validation

This qualification assessment tests the candidate's knowledge of Python Backend development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Python Fundamentals
  • This challenge tests candidate familiarity with Python and should be suitable for mid-to-senior candidates. Most questions are derived from the Python docs and some inspired by frequent Python interview questions.
• Python Code Challenge
  • The first challenge of this assessment involves writing a configuration file parser. Candidates will write a clean solution to do a configuration-parsing task using a built-in library.
  • The second challenge objective is to determine which website is the most popular in a directory of HTML files using the PageRank algorithm. This challenge exercises candidate comfort with reading documentation and using a few important Python libraries and modules they may not be familiar with.

Python: Technical Interview

This assessment is designed to test your practical knowledge of backend development using Python. Candidates who pass this challenge can work with Python to implement backend web applications.

During the assessment, candidates will tackle a hands-on problem tailored to real-world scenario in Python development. Their solution will be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewer' will step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Python Coding Challenge (Option 1):
  • This is an intermediate-to-advanced-level problem that asks a candidate to write a few small functions to manipulate a zip file programmatically. This challenge tests the candidate's ability to manipulate zip files programmatically, or to quickly ramp up and research how to achieve the desired result. There shouldn't be too much code to write, but research skills are tested.
• Python Coding Challenge (Option 2):
  • This is an intermediate-to-advanced-level problem that evaluates the candidate's competency to Write a configuration file parser. This challenge tests the candidate's ability to write a clean solution to a configuration-parsing task using a built-in library.

QA (Manual)

Summary

The QA (Manual) role is a pivotal contributor to maintaining the quality standards across the Andela Talent Network's software development projects. In this capacity, individuals play a fundamental role in designing, executing, and documenting manual testing procedures to ensure the reliability and functionality of software applications. Collaborating closely with development teams, they contribute to identifying, documenting, and resolving software defects, thereby enhancing overall product quality.

This entry-level position offers an opportunity for QA enthusiasts to refine their skills, delve into emerging testing methodologies, and advance their careers in software quality assurance. Successful candidates exhibit proficiency in manual testing techniques, demonstrate a thorough understanding of testing principles, and showcase problem-solving skills in dynamic software environments.

Key role responsibilities

• Design and execute comprehensive manual testing procedures to ensure the reliability and functionality of software applications.
• Collaborate closely with development teams to identify, document, and resolve software defects, thereby enhancing overall product quality.
• Document test cases, test plans, and testing results to facilitate efficient and effective testing processes.
• Participate in test case reviews and provide feedback to improve the quality of testing documentation.
• Conduct thorough testing of software applications, including functional testing, regression testing, and user acceptance testing.
• Communicate test findings and defects to stakeholders, including developers, project managers, and product owners.
• Stay updated on industry trends and best practices in manual testing methodologies and software quality assurance techniques.
• Provide guidance and support to development teams on testing best practices and methodologies.
• Collaborate with cross-functional teams to ensure the seamless integration of testing processes into the software development lifecycle.

Qualifications

• A minimum of 3 years of professional experience in a manual QA role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficiency in manual testing methodologies and techniques.
• Familiarity with testing tools and frameworks.
• Strong analytical and problem-solving skills, with meticulous attention to detail.
• Ability to work collaboratively in a cross-functional team environment.
• A commitment to continuous learning and staying updated on industry trends in software quality assurance and testing.

Skills Measured

Quality Assurance

• Testing Fundamentals
  • Test Planning
  • Test Case Design
  • Test Execution
  • Defect Management
• Types of Testing
  • Functional Testing
  • Regression Testing
  • Performance Testing
  • User Acceptance Testing
• QA Best practices
  • Test Documentation
  • Reporting
  • Software Development Lifecycle
  • Agile Methodologies
  • Quality Standards

Network Entrance Assessments

QA (Manual): Skills Validation

This qualification assessment tests the candidate's knowledge of QA fundamentals. It's composed of Q&A and practical challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• Quality Assurance
  • This is a QA Testing Methodology quiz that ensures candidates are familiar with QA foundations. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced QA professionals. Most questions are inspired by QA certifications and frequent QA interview questions.
• SQL
  • This challenge tests the candidate's knowledge of SQL and associated best practices. The question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced SQL practitioner. Most of the questions are derived from SQL certifications, and some are inspired by frequent SQL interview questions.
• Situational Judgement
  • This assessment is designed to gauge how the candidate navigates various scenarios. It tests the candidate's ability to choose the most appropriate action in workplace situations. It was designed to assess how the candidate would deal with real-world situations that involve decisions about prioritization, handling conflicts, and more.

QA (Manual): Technical Interview

This assessment is designed to test your practical knowledge of Software Quality Assurance in real-world scenarios. Candidates who pass this challenge are able to work as Manual QA in Agile teams.

Assessment outline:

• Essay: Agile Testing
  • This challenge focuses on the candidate's ability to improve and define acceptance criteria for user stories and subsequently create comprehensive test cases. While no automation skills are required for this task, it emphasizes the manual testing steps, scenarios, and test cases that an experienced QA engineer would execute to verify the functionality of each user story. Attention to detail and ability to translate user requirements into effective testing documentation will be assessed.

QA/SDET

Summary

The QA (Quality Assurance) / SDET (Software Development Engineer in Test) plays a pivotal role in shaping the software development landscape within Andela Talent Network. They craft, enhance, and sustain the quality of software products through meticulous testing practices, including both manual and automated testing methodologies. Working collaboratively across teams, they ensure the effective integration of testing procedures, optimize defect discovery, and resolve intricate testing challenges.

This entry-level role provides a platform for QA/SDET enthusiasts to hone their expertise, explore niche testing tools and methodologies, and progress their careers in software quality assurance. Successful candidates exhibit proficiency in various testing methodologies, including automated testing frameworks, demonstrate a deep understanding of software development lifecycles, and showcase exceptional problem-solving skills in dynamic testing environments.

Key role responsibilities

• Analyze and understand software requirements, specifications, and user stories.
• Design and develop comprehensive test plans and test cases, covering various functionalities and user scenarios.
• Execute manual tests meticulously, following established test procedures and reporting any identified defects.
• Automate test cases using scripting languages and testing frameworks to improve efficiency and coverage.
• Collaborate with developers to investigate and reproduce reported defects, providing clear and concise descriptions and steps to replicate them.
• Verify and validate bug fixes and ensure their effectiveness in eliminating reported issues.
• Participate in code reviews from a QA perspective, identifying potential usability issues and suggesting improvements.
• Stay up to date with the latest testing methodologies and tools, constantly seeking opportunities to improve testing efficiency and effectiveness.
• Document test results and reports, clearly communicating findings and recommendations to stakeholders.

Qualifications

• A minimum of 3 years of professional experience in a QA /SDET engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficiency in software testing methodologies, including manual and automated testing techniques.
• Hands-on experience with testing tools and frameworks, such as Selenium, JUnit, or TestNG.
• Familiarity with programming languages commonly used in automation testing, such as Java, Python, or JavaScript.
• Strong analytical and problem-solving skills, with meticulous attention to detail.
• Ability to work collaboratively in a cross-functional team environment.
• A commitment to continuous learning and staying updated on industry trends in software quality assurance and testing.

Skills Measured

Quality Assurance

• Testing Fundamentals
  • Test Planning
  • Test Case Design
  • Test Execution
  • Defect Management
• Automation Testing
  • Test Automation
  • Scripting Languages (e.g., Python, JavaScript)
  • Test Frameworks (e.g., Selenium, TestNG)
• Types of Testing
  • Functional Testing
  • Regression Testing
  • Performance Testing
  • User Acceptance Testing
• QA Best practices
  • Test Documentation
  • Reporting
  • Software Development Lifecycle
  • Agile Methodologies
  • Quality Standards

Network Entrance Assessments

QA/SDET: Skills Validation

This qualification assessment tests the candidate's knowledge of QA/SDET fundamentals. It's composed of Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• Quality Assurance
  • This is a QA Testing Methodology quiz that ensures candidates are familiar with QA foundations. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced QA professionals. Most questions are inspired by QA certifications and frequent QA interview questions.
• SQL
  • This challenge tests the candidate's knowledge of SQL and associated best practices. The difficulty of the question ranges from basic to intermediate, so the challenge should suit any experienced SQL practitioner difficulty ranges from basic to intermediate, so the challenge should request SQL interview questions.
• Code Challenge
  • In this challenge, the candidate should write a method that will determine the first non-repeating character in a string. This is a straightforward challenge that tests a candidate's ability to walk a string and store state in a data structure such as a hash map. Even with the simple difficulty, this challenge should reveal substantial insight into the candidate's coding style as it tends to evoke a wide range of possible solutions.

QA/SDET: Technical Interview

This assessment is designed to test a candidate’s coding and problem-solving skills. Candidates who pass this challenge can work as QA/SDET engineers in positions that require solid coding skills, such as extending frameworks, writing scripts, advanced CI/CD integration, and more.

Assessment outline:

• Coding Challenge:
  • In this challenge, the candidate should determine how many steps it takes to reach a palindrome by repeatedly incrementing a number by its reversed digits. This is a straightforward challenge that tests the candidate's familiarity with fundamental coding concepts such as loops, strings, and type conversions or digit manipulation (depending on how they choose to approach reversal of an integer).

React

Summary

The React Developer role is a key participant in shaping the software development landscape within the Andela Talent Network. In this position, individuals are instrumental in crafting, enhancing, and sustaining front-end applications using React. They ensure the effective integration of front-end components, optimize application performance, and resolve intricate challenges working collaboratively across teams.

This entry-level role provides a platform for React enthusiasts to hone their expertise, explore niche technologies, and progress their careers in front-end development. Successful candidates exhibit proficiency in React, demonstrate a deep understanding of front-end architecture, and showcase problem-solving skills in dynamic software environments.

Key role responsibilities

• Design, build, and maintain scalable and responsive frontend applications using React.
• Collaborate with cross-functional teams to ensure the seamless integration of frontend components into the overall application architecture.
• Optimize application performance, ensuring a smooth and efficient user experience.
• Troubleshoot and debug frontend issues, identifying and implementing effective solutions.
• Participate actively in code reviews to uphold coding standards, enhance code quality, and promote best practices in React development.
• Stay abreast of the latest trends, updates, and best practices in React and frontend development.
• Provide mentorship and guidance to junior developers, sharing insights and expertise in frontend engineering.

Qualifications

• A minimum of 3 years of professional experience in a React developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• ·roficient in React with a solid understanding of frontend development principles.
• ·ands-on experience with frontend technologies, including HTML, CSS, and JavaScript, and familiarity with state management libraries such as Redux.
• ·trong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

React Development

• React Fundamentals
  • React core concepts, including components, props, state, and lifecycle methods.
  • Component architecture
  • Application state management
  • Client-side routing
• JavaScript Language
  • JavaScript syntax, including variables, scope, data types, functions, and classes
  • JavaScript ES6+ features, including arrow functions, closures, template literals, and destructuring assignments
  • Asynchronous programming with callbacks, Promises, and async/await
• Data Fetching and API Integration
  • Consuming REST and GraphQL endpoints
• Testing and Quality Assurance
  • Testing React components
  • React Testing Library
  • Unit testing best practices
• Debugging and performance optimization

Front-End Development

• User Interface Design
  • HTML5 and CSS3
  • Responsive Design
  • Cross-Browser Compatibility
• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Build Tools and Task Runners

Network Entrance Assessments

React: Skills Validation

This qualification assessment tests the candidate's front-end development and React fundamentals knowledge. It comprises Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• React Fundamentals
  • This challenge tests candidate familiarity with React and should be suitable for mid-to-senior candidates. Most questions are derived from the React docs and some inspired by frequent React interview questions.
• React Testing Library
  • This challenge tests candidate knowledge of React Testing Library and associated best practices. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced engineer. Most of the questions are pulled from the official RTL docs and Kent Dodds' blog.
• React Code Challenge
  • This challenge involves searching a parsed data structure and rendering results, common tasks in most web apps. Candidates will use fundamental array and string methods, manipulate objects, and handle multiple input forms. Care should be taken to promote scalable design and DRY code.

React: Technical Interview

This assessment is designed to test your practical knowledge of frontend development using React. Candidates who pass this challenge are able to work with React to implement frontend web applications using JavaScript and/or TypeScript, and writing unit tests using RTL.

During the assessment, candidates will tackle a hands-on problem tailored real-world scenario in React development. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• React Coding Challenge (Option 1):
  • This is an intermediate-to-advanced-level problem that asks a candidate to fetch data from an API. They'll need to read the existing code enough to modify it, understand the API's provided enpoint, then make a GET request to the API and display the result to the user. Taken together, this process comprises the bread-and-butter of many front-end web applications and is a great way to assess the extent to which a candidate is comfortable making API requests, working with asynchronous code and manipulating state in React.
• React Coding Challenge (Option 2):
  • This is an advanced-level problem that evaluates the candidate's competency to implement and follow best practices for a hooks-based useEffect call to an asynchronous resource. It covers hook features, async behavior, and error handling.

React Native

Summary

The React Native Developer plays a pivotal role within the Andela Talent Network, specializing in crafting dynamic and efficient cross-platform mobile applications. This role is essential for harnessing React Native's capabilities to deliver seamless user experiences across various platforms and devices. As a React Native Developer, you will collaborate closely with diverse teams to design, implement, and deploy innovative mobile solutions.

Joining our team presents seasoned developers with an exciting opportunity to lead the evolution of mobile app development and make significant contributions to our product ecosystem.

Key role responsibilities

• Design, develop, and maintain cross-platform mobile applications using React Native framework, ensuring adherence to high standards of quality, performance, and security.
• Architect robust and scalable application structures, utilizing React Native components and best practices to optimize performance and maintainability.
• Implement visually compelling and user-friendly interfaces across diverse platforms, following design guidelines and principles of user interaction.
• Collaborate closely with backend developers, UI/UX designers, and product stakeholders to seamlessly integrate mobile apps with backend systems, APIs, and databases.
• Troubleshoot and resolve technical issues related to app functionality, performance, and compatibility across various devices and operating systems.
• Establish and execute comprehensive testing strategies, including unit tests and integration tests, to validate app functionality and ensure robustness.
• Stay updated on the latest trends and advancements in React Native and mobile app development, incorporating new features, tools, and methodologies to enhance application quality and efficiency.
• Adhere to coding standards, participate actively in code reviews, and contribute to continuous improvement efforts aimed at enhancing codebase quality and maintainability.

Qualifications

• A minimum of 3 years of professional experience in a React Native developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proven experience in React Native app development, with a track record of delivering high-quality cross-platform mobile applications.
• Strong command of JavaScript and its modern frameworks, with a focus on React and React Native-specific concepts.
• Comprehensive understanding of React Native framework, encompassing its component-based architecture, navigation systems, state management solutions, and platform-specific APIs.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

React Native Mobile Development

• React Native Fundamentals
  • Understanding React Native architecture and component lifecycle
  • Proficiency in creating and managing React components
  • Knowledge of React Native navigation systems (e.g., Stack Navigator, Tab Navigator)
  • State management solutions like Redux or Context API
• JavaScript Language
  • JavaScript syntax, including variables, scope, data types, functions, and classes
  • JavaScript ES6+ features, including arrow functions, closures, template literals, and destructuring assignments
  • Asynchronous programming with callbacks, Promises, and async/await
• Platform Integration
  • Integration with platform-specific APIs and features
  • Platform-specific development considerations (iOS and Android)
  • Working with device sensors, permissions, and native modules
• Testing and Quality Assurance
  • Testing React components
  • Unit testing best practices
• App distribution channels (e.g., App Store Connect, Google Play Console)

Mobile Application Design

• Mobile Development Best Practices
  • Security best practices for mobile app development, including data encryption, secure storage, and user authentication
  • Performance optimization techniques for mobile apps, including code optimization, lazy loading, and image compression
  • Design principles and guidelines for creating intuitive and visually appealing interfaces
• Software Version Control
  • Git usage and best practices
  • Collaborative development workflows

Network Entrance Assessments

React Native: Skills Validation

This qualification assessment tests the candidate's knowledge of React Native mobile development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.  

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• React Native Fundamentals
  • This challenge tests candidate familiarity with React Native and should be suitable for mid-to-senior candidates.
• React Native Application Development
  • This scenario-based challenge is designed to evaluate a senior React Native developer's practical knowledge and decision-making skills in real-world scenarios. The provided answers and explanations should help assess the candidate's ability to make informed choices in different aspects of app development.
• React Native Code Challenge
  • This React Native challenge is designed to test candidate understanding and comfort with asynchronous programming.

React Native: Technical Interview

This assessment evaluates the candidate's expertise in React Native through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of React Native and mobile development. Their solution will first be verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• JavaScript Code Challenge:
  • This intermediate-to-advanced challenge tests candidate's ability to work with arrays of objects, a typical data structure. They'll filter the array of objects and perform light date manipulation to determine which elements meet a specific condition.

Ruby

Summary

The Ruby developer role at Andela is instrumental in driving innovation and efficiency through the development and maintenance of dynamic web applications using Ruby on Rails framework. These developers collaborate closely with cross-functional teams to design and implement scalable solutions, optimize application performance, and troubleshoot complex issues.

As an entry-level role, it offers opportunities for developers to enhance their expertise in Ruby on Rails, explore advanced concepts in web development, and progress within the field. Ideal candidates exhibit proficiency in Ruby on Rails, possess a solid understanding of web application architecture, and demonstrate strong problem-solving skills in agile development environments.

Key role responsibilities

• Design, develop, and maintain web applications using the Ruby on Rails framework.
• Collaborate with team members to ensure smooth integration of front-end and back-end components.
• Optimize application performance, scalability, and reliability through efficient coding practices.
• Identify and debug complex issues within the Ruby on Rails application stack.
• Conduct code reviews to ensure adherence to coding standards and best practices in Ruby on Rails development.
• Stay abreast of advancements and emerging trends in Ruby on Rails and web application development.
• Provide mentorship and support to junior developers, fostering growth and knowledge sharing within the team.

Qualifications

• A minimum of 3 years of professional experience in a Ruby on Rails developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Strong proficiency in Ruby language with a comprehensive understanding of RoR framework.
• Expertise in web application development, including backend principles and best practices.
• Experience with databases, server-side frameworks, and RESTful API design, complemented by a solid foundation in Ruby on Rails development.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• ·A collaborative and team-oriented approach to projects.

Skills Measured

Ruby on Rails Development

• Ruby Language
  • Ruby syntax: data types, variables, operators, and expressions
  • Ruby syntax: data types, variables, operators, and expressions
  • Object-oriented programming principles (encapsulation, inheritance, polymorphism)
  • Methods, blocks, and modules
  • Concurrency and asynchronous programming in Ruby
• Ruby on Rails Framework
  • Model-View-Controller (MVC) architecture in Ruby on Rails
  • RESTful conventions for building web applications
  • ActiveRecord for database interactions, including associations and validations
• Database and Persistence
  • Relational database concepts and SQL queries
  • ActiveRecord query interface
  • Database migrations and schema management
• Testing and Quality Assurance
  • Behavior-driven development (BDD)
  • Fixtures and factories for test data setup and management
  • Writing unit tests using RSpec.

Software Architecture and System Design

• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Design Patterns & Best Practices
  • Design patterns best practices in Ruby
  • Anti-patterns and code smells
  • Design principles (e.g., SOLID)
• RESTful Web Services
  • HTTP methods (GET, POST, PUT, DELETE)
  • Creating and consuming RESTful APIs
  • Handling JSON data
• Microservices Architecture
  • Microservices concepts
  • Scalability and cloud-native
  • Event-Driven Architecture

Network Entrance Assessments

Ruby: Skills Validation

This qualification assessment tests the candidate's knowledge of Ruby on Rails back-end development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Ruby Fundamentals
  • Tests fundamental candidate knowledge of the Ruby programming language. It was created based on the Ruby Association Certified Ruby Programmer Silver version 3 preparation guide, matching topics and difficulty level.
• Ruby on Rails Code Challenge
  • Tests candidate comfort with validations and callbacks and shows their comfort in working with models in Rails.
• Ruby on Rails Code Challenge
  • This challenge requires that the candidate make some judgements on how to build authentication into an existing API. This is an intermediate-to-advanced problem related to RoR authentication. It's designed to evaluate the usage of the API as weel as best practices like DRY.

Ruby: Technical Interview

This assessment evaluates the candidate's expertise in Ruby for back-end development through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Ruby on Rails Framework. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Ruby Code Challenge:
  • Tests a candidate's handiness with writing sort comparators and working with strings, numbers and arrays in Ruby. This challenge is perfomance-oriented: it adds components to avoid trivial solutions using builtins or copied code from the internet.

Salesforce Administration

Summary

The Salesforce Administrator role at Andela is instrumental in optimizing the organization's CRM platform, overseeing its configuration, maintenance, and user support. With expertise in Salesforce fundamentals, data management, and security, Salesforce Administrators proficiently manage user roles, profiles, and permissions to ensure data integrity and accessibility. Skilled in workflow automation and customization, they streamline business processes, enhance user experience, and drive adoption across the organization. Additionally, Salesforce Administrators play a key role in reporting and analytics, providing insights to stakeholders for informed decision-making.

This role offers opportunities for professionals to leverage their Salesforce knowledge and contribute to the continuous improvement of Andela's CRM ecosystem.

Key role responsibilities

• Configure and customize Salesforce applications to meet business needs, including managing user roles, profiles, and permissions.
• Maintain data integrity by overseeing data quality, validation rules, and duplicate management.
• Implement and optimize workflow automation, including process builder, flows, and approval processes.
• Manage system updates, patches, and enhancements, coordinating with stakeholders to ensure minimal disruption.
• Generate and analyze reports and dashboards to provide insights into business performance and trends.
• Support end-users by providing training, troubleshooting, and resolving issues.
• Collaborate with cross-functional teams to understand requirements and align Salesforce solutions with organizational goals.
• Stay abreast of Salesforce releases, updates, and best practices to continuously improve system efficiency and effectiveness.
• Document system configurations, processes, and procedures to maintain a comprehensive knowledge base for future reference and training.

Qualifications

• A minimum of 3 years of professional experience in a Salesforce Administrator role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Strong understanding of Salesforce platform fundamentals and best practices, with proficiency in system configuration and customization.
• Experience in administering Salesforce applications, including user management, security settings, and data management.
• Knowledge of declarative tools such as process builder, workflow rules, and validation rules to automate business processes.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Salesforce Administration

• Salesforce Ecosystem
  • Salesforce use cases
  • Salesforce Customer 360 products
  • Basic Salesforce concepts and terminology
  • Navigation and user interface familiarity
• Data Management
  • Data import/export tools and techniques
  • Data validation and cleansing
  • Record types, page layouts, and custom fields
• Security and Access Control
  • User management (profiles, roles, permission sets)
  • Object and field-level security
  • Sharing rules and record-level security
• Automation and Workflow
  • Process automation tools (Process Builder, Workflow Rules)
  • Approval processes
  • Formula fields and validation rules
• Reports and Dashboards
  • Report types and formats
  • Dashboard creation and customization
  • Report scheduling and delivery
• Collaboration and Communication
  • Chatter and collaboration features
  • Email templates and mass email functionality
  • Community setup and management
• App Customization and Integration
  • AppExchange apps and integrations
  • Custom app development and configuration
  • Integration with external systems (REST/SOAP APIs, data connectors)
• Maintenance and Troubleshooting
  • System monitoring and health checks
  • Salesforce release management
  • Troubleshooting common issues and errors

Network Entrance Assessments

Salesforce Administration: Skills Validation

This qualification assessment tests the candidate's knowledge of Salesforce administration. It's composed of Q&A challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Salesforce Fundamentals
  • Evaluates the candidate's knowledge of the Salesforce ecosystem and their familiarity with the Salesforce Customer 360 Platform.
• Salesforce Administration
  • Evaluates the candidate's knowledge of the Salesforce administration fundamentals. The challenge was designed based on the Salesforce Administrator certification exam from Trailhead, using similar question style and difficulty level.

Salesforce Developer

Summary

The Salesforce Developer role at Andela is pivotal in driving the organization's CRM initiatives, specializing in developing and customizing solutions on the Salesforce platform. With a strong grasp of Apex, Visualforce, and Lightning components, Salesforce Developers design and implement scalable solutions tailored to business needs, leveraging declarative features and programmatic capabilities. Proficient in data modeling and integration techniques, they collaborate with cross-functional teams to deliver robust Salesforce applications, ensuring alignment with best practices and industry standards.

This role offers opportunities for professionals to expand their expertise in Salesforce development while contributing to the enhancement of Andela's CRM capabilities.

Key role responsibilities

• Develop Salesforce applications using Apex, Visualforce, and Lightning components.
• Design and implement data models, custom objects, and fields to meet business requirements.
• Integrate with external systems and third-party applications using APIs and web services.
• Configure and maintain security settings (e.g., user permissions, profiles, and sharing rules).
• Collaborate with stakeholders to gather requirements and translate them into technical solutions on the Salesforce platform.
• Create and maintain documentation of configurations, customizations, and integrations.
• Perform unit testing and support user acceptance testing to ensure quality and functionality of Salesforce solutions.
• Stay informed about updates and new features in the Salesforce ecosystem, and evaluate their impact on existing implementations.
• Provide technical guidance and support to team members, sharing knowledge and best practices in Salesforce development.

Qualifications

• A minimum of 3 years of professional experience in a Salesforce developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficiency in Salesforce development technologies, including Apex, Visualforce, and Lightning components, with a solid understanding of platform capabilities.
• Experience in designing and implementing Salesforce solutions, including custom objects, fields, workflows, and automation processes.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Salesforce Development

• Salesforce Ecosystem
  • Salesforce use cases
  • Salesforce Customer 360 products
  • Core standard objects
  • Data visibility and integrity
  • Reports and dashboards
  • Salesforce navigation
• Developer Fundamentals
  • Multi-tenant concepts and design frameworks
  • Lightning Component Framework
  • Declarative versus programmatic customizations
  • Salesforce data models
  • REST and SOAP API Integration
• Process Automation and Logic
  • Declarative process automation features
  • Apex features (interfaces, classes, triggers, transactions, error handling)
  • SOSL, SOQL, and DML statements
• User Interface
  • Visualforce pages
  • Lightning web components and events
  • Flow
  • Data access security
• Testing, Debugging, and Deployment
  • Salesforce Developer tools(Salesforce DX, CLI, and Developer console)
  • Debugging and troubleshooting
  • Deploying Salesforce solutions

Network Entrance Assessments

Salesforce Developer: Skills Validation

This qualification assessment tests the candidate's knowledge of Salesforce platform development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• Salesforce Fundamentals
  • Evaluates the candidate's knowledge of the Salesforce ecosystem and their familiarity with the Salesforce Customer 360 Platform. The following topics are covered: Salesforce use cases, Salesforce Customer 360 products, Core standard objects, Reports and dashboards, and Salesforce navigation
• Apex Fundamentals
  • Tests the candidate's knowledge of the Apex concepts and features. It was inspired in the Salesforce Certified Platform Developer I exam in both style and difficulty level.
• Lightning Web Components
  • Tests the candidate's knowledge of the Lightning Web Components framework concepts, features, and extensibility. It was inspired in the Salesforce Certified Platform Developer I exam in both style and difficulty level.
• Salesforce Development Scenario
  • Measures a candidate’s skills related to Salesforce development, and their ability to apply their knowledge in real-world scenarios. This challenge introduces a realistic use case of the Salesforce ecosystem and explore various aspects of the scenario, including problems, missing features, and potential improvements.

Salesforce Developer: Technical Interview

This assessment evaluates the candidate's expertise in Salesforce development through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of Salesforce platform development. Their solution will be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• SOQL Code Challenge
  • Tests the candidate grasp of the Salesforce Object Query Language (SOQL) and the Salesforce object model by writing queries that search for data with multiple, different relationships.
• Apex Code Challenge
  • This challenge tests a candidate's basic familiarity with Apex, including number manipulation and loops.
• Apex Triggers Code Challenge
  • This challenge is designed to assess the candidate's ability to implement a simple Apex trigger with basic conditional logic.

Scrum Master

Summary

The Scrum Master role plays a pivotal role in shaping the success of software development teams within the Andela Talent Network. In this crucial position, individuals are instrumental in facilitating, guiding, and supporting teams to deliver high-value software increments using the Scrum framework. Working collaboratively across teams, they ensure the effective implementation of Scrum principles and practices, optimize team performance, and resolve complex challenges that arise throughout the development cycle.

This dynamic role provides a platform for aspiring facilitators and coaches to hone their leadership skills, explore agile methodologies, and progress their careers in team development. Successful candidates exhibit a deep understanding of Scrum principles, demonstrate a collaborative and supportive approach, and showcase exceptional problem-solving skills in dynamic team environments.

Key role responsibilities

• Design, facilitate, and champion the implementation of the Scrum framework within development teams.
• Collaborate with team members, stakeholders, and cross-functional teams to ensure seamless integration of Scrum practices into the overall project workflow.
• Optimize team performance and adherence to Scrum principles, ensuring smooth delivery of high-value software increments.
• Troubleshoot and debug challenges that arise during the development cycle, identifying and implementing solutions that remove roadblocks and maintain team momentum.
• Actively participate in Scrum ceremonies, such as daily stand-ups, sprint reviews, and retrospectives, upholding best practices and promoting continuous improvement.
• Stay abreast of the latest trends and updates in agile methodologies and Scrum practices, ensuring the team adopts effective approaches for efficient collaboration and delivery.
• Mentor and guide junior team members, sharing insights and expertise in Scrum principles and facilitating their development within the agile framework.

Qualifications

• A minimum of 3 years of professional experience in a project management, coaching, or facilitation role (excluding intern and volunteer experience).
• A bachelor's degree in business administration, project management, or equivalent work experience with a focus on agile methodologies.
• Excellent spoken and written English communication skills with the ability to effectively guide and coach diverse teams.
• Proficient in core Scrum principles and practices, with a solid understanding of agile methodologies.
• Hands-on experience with facilitating workshops, coaching individuals, and removing roadblocks in team environments.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset focused on team optimization and continuous improvement.
• A commitment to continuous learning and staying abreast of the latest trends in agile methodologies and Scrum practices.
• A collaborative and team-oriented approach to supporting and facilitating productive team interactions and adherence to Scrum principles.

Skills Measured

Scrum

• Scrum Framework
  • Scrum Roles
  • Scrum Events
  • Scrum Artifacts
• Facilitation
  • Meeting Facilitation
  • Collaboration Techniques
  • Conflict Resolution
• Servant Leadership
  • Team Empowerment
  • Coaching
  • Mentoring
• Agile Principles
  • Agile Values
  • Agile Manifesto
  • Agile Mindset
• Burndown Charts
  • Velocity Tracking
  • Sprint Reviews
• Continuous Improvement
  • Retrospectives
  • Process Optimization
• Stakeholder Management
  • Communication Skills
  • Transparency

Network Entrance Assessments

Scrum Master: Skills Validation

This qualification assessment tests the candidate's knowledge of Scrum Master fundamentals. It's composed of Q&A challenges that evaluate the candidate theoretical and practical knowledge.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• Agile
  • This assessment is designed to evaluate your familiarity and expertise in Agile environments and methodologies, which are essential for success in product related positions. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced Agile professional. Most of the questions are inspired by Agile certifications and frequent Agile interview questions.
• Logical Reasoning
  • This challenge involves logical reasoning quizzes. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced professional. Most of the questions are inspired by logical reasoning interview questions.

Technical Product Manager

Summary

The Technical Product Manager role plays a pivotal role in shaping innovative solutions within the Andela Talent Network. In this crucial position, individuals are instrumental in conceiving, refining, and championing technically sound and user-centric products. Working collaboratively across teams, they bridge the gap between business goals and technical feasibility, ensuring seamless integration of features into the overall product architecture. By optimizing user experience and application performance, they navigate complex technical challenges to drive impactful results.

This dynamic role provides a platform for product enthusiasts with a technical background to hone their strategic thinking, explore emerging technologies, and propel their careers in product development. Successful candidates exhibit proficiency in both product management principles and core technologies, demonstrate a deep understanding of frontend and backend architectures, and showcase exceptional problem-solving skills in dynamic software environments.

Key role responsibilities

• Conceive, build, and champion technically sound and user-centric products, ensuring seamless integration with business goals.
• Collaborate with cross-functional teams, including engineering, design, and marketing, to translate product vision into feasible and scalable architectures.
• Optimize user experience and application performance by collaborating with developers and analyzing user data.
• Troubleshoot and analyze complex technical challenges, proposing and implementing solutions that balance user needs with technical constraints.
• Actively participate in technical discussions, providing product insights and ensuring code adheres to best practices.
• Stay up to date on emerging technologies and trends in development and the target market, informing product strategy. Mentor and guide junior product managers, sharing technical knowledge and fostering a collaborative product development environment.

Qualifications

• Minimum of 3 years of professional experience in product management or relevant technical role (excluding intern and volunteer experience).
• A bachelor's degree in business, marketing, product management, computer science, or equivalent work experience.
• Excellent spoken and written communication skills with the ability to effectively communicate with both technical and non-technical audiences.
• Proficient in core product management principles with a solid understanding of technical feasibility and constraints.
• Hands-on experience with product development methodologies, such as Agile and Design Thinking, and familiarity with technical product management tools and frameworks.
• Strong analytical and problem-solving skills with a data-driven approach to decision-making, considering both user experience and technical implications.
• A commitment to continuous learning and staying abreast of emerging trends in technology, the target market, and the product landscape.
• A collaborative and team-oriented approach to product development, fostering effective communication and alignment across various stakeholders, including engineers, designers, and marketing teams.

Skills Measured

Product Management

• Business Fundamentals
  • Pricing strategies
  • Business metrics
  • Correlation between variables
• Product Strategy
  • Market Analysis
  • Competitive Analysis
  • Vision Setting
• Requirement Management
  • User Story Writing
  • Acceptance Criteria Definition
  • Prioritization Techniques
• Technical Understanding
  • Software Development Lifecycle
  • Technology Trends
  • API Understanding
• Stakeholder Management
  • Communication Skills
  • Collaboration
  • Relationship Building
• Product Development
  • Road mapping
  • Feature Prioritization
• Data Analysis
  • Metrics Tracking
  • Data Interpretation
  • A/B Testing
• User Experience (UX) Design
  • Usability Testing
  • User experience research
• Customer discovery process

Agile

• Scrum
  • Scrum process and meetings
  • Tasks prioritization
  • Definition of Done
  • Story Points
  • Sprint Reviews
  • Story acceptance criteria

Network Entrance Assessments

Product Manager: Skills Validation

This qualification assessment tests the candidate's knowledge of Product Management fundamentals. It's composed of Q&A challenges that evaluate the candidate theoretical and practical knowledge.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• Product Management Fundamentals
  • This challenge tests candidate familiarity with Product Management fundamentals and should be suitable for mid-to-senior candidates. Most questions are inspired by Product Management certifications and frequent Product Management interview questions.
• Agile
  • This assessment is designed to evaluate your familiarity and expertise in Agile environments and methodologies, which are essential for success in product related positions. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced Agile professional. Most of the questions are inspired by Agile certifications and frequent Agile interview questions.
• Situational Judgement
  • This assessment is designed to gauge how the candidate navigates various scenarios. It tests the candidate's ability to choose the most appropriate action in workplace situations. It was designed to assess how the candidate would deal with real-world situations that involve decisions about prioritization, handling conflicts, and more.

Technical Product Owner

Summary

The Technical Product Owner role plays a pivotal role in shaping innovative solutions within the Andela Talent Network. In this crucial position, individuals are instrumental in conceiving, refining, and championing technically sound and user-centric products. Working collaboratively across teams, they bridge the gap between business goals and technical feasibility, ensuring seamless integration of features into the overall product architecture. By optimizing user experience and application performance, they navigate complex technical challenges to drive impactful results.

This dynamic role provides a platform for product enthusiasts with a technical background to hone their strategic thinking, explore emerging technologies, and propel their careers in product development. Successful candidates exhibit proficiency in both product management principles and core technologies, demonstrate a deep understanding of frontend and backend architectures, and showcase exceptional problem-solving skills in dynamic software environments.

Key role responsibilities

• Conceive, build, and champion technically sound and user-centric products, ensuring seamless integration with business goals.
• Collaborate with cross-functional teams, including engineering, design, and marketing, to translate product vision into feasible and scalable architectures.
• Optimize user experience and application performance by collaborating with developers, analyzing user data, and understanding technical constraints. Identify and troubleshoot complex technical challenges, proposing and implementing solutions that balance user needs with technical feasibility.
• Actively participate in technical discussions, providing product insights and ensuring code adheres to best practices.
• Stay up to date on emerging technologies and trends in front-end, back-end development, and the target market, informing product strategy.
• Mentor and guide junior product owners and developers, sharing technical knowledge and fostering a collaborative product development environment.

Qualifications

• Minimum of 3 years of professional experience in a Product Owner or relevant role (excluding intern and volunteer experience).
• A bachelor's degree in business, marketing, computer science, or equivalent work experience with a strong technical focus.
• Excellent spoken and written communication skills can effectively communicate with technical and non-technical audiences.
• Proficient in core product management principles with a solid understanding of technical feasibility and constraints related to front-end and back-end development.
• Hands-on experience with product development methodologies, such as Agile and Design Thinking, and familiarity with technical product management tools and frameworks.
• Strong analytical and problem-solving skills with a data-driven approach to decision-making, considering both user experience and technical implications.
• Strong understanding of frontend and backend technologies.
• A commitment to continuous learning and staying abreast of emerging trends in technology, the target market, and the product landscape.
• A collaborative and team-oriented approach to product development, fostering effective communication and alignment across diverse teams, including engineers, designers, and marketing.

Skills Measured

Product Ownership

• Product Ownership
  • Vision Setting
  • Product Backlog Management
  • Release Planning
  • Product Increment Assessment
• Requirement Management
  • User Story Writing
  • Acceptance Criteria Definition
  • Prioritization Techniques
• Technical Understanding
  • Software Development Lifecycle
  • Technical Documentation
• Stakeholder Management
  • Communication Skills
  • Collaboration
  • Conflict Resolution
• Metrics and Reporting
  • Key Performance Indicators (KPIs)
  • Data Analysis
  • Reporting Tools

Agile

• Scrum
  • Sprint Planning
  • Scrum meetings
  • ScrumMaster responsibilities
  • Tasks prioritization
  • Product Backlog management
  • Definition of Done
  • Story Points
  • Sprint Reviews
  • Story acceptance criteria
  • Software testing techniques
  • Retrospectives

Network Entrance Assessments

Product Owner: Skills Validation

This qualification assessment tests the candidate's knowledge of Product Owner fundamentals. It's composed of Q&A challenges that evaluate the candidate theoretical and practical knowledge.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• Agile
  • This assessment is designed to evaluate your familiarity and expertise in Agile environments and methodologies, which are essential for success in product related positions. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced Agile professional. Most of the questions are inspired by Agile certifications and frequent Agile interview questions.
• Attention to Detail
  • This assessment is designed to gauge how the candidate’s attention is to detail. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced professional. Most of the questions are inspired by attention to detail interview questions.

UI (Visual) Designer

Summary

The UI(Visual) Designer role is a key participant in shaping the visual identity and user experience within the Andela Talent Network. In this position, individuals are instrumental in crafting, enhancing, and sustaining visually appealing and user-centric interfaces for web and mobile applications. Working collaboratively across teams, they ensure the seamless integration of visual elements, optimize user experience through intuitive design, and resolve intricate usability challenges.

This entry-level role provides a platform for design enthusiasts to hone their expertise, explore diverse design trends, and progress their careers in user interface and visual design. Successful candidates exhibit proficiency in UI design principles, demonstrate a deep understanding of design systems and accessibility guidelines, and showcase exceptional problem-solving skills in dynamic environments

Key role responsibilities

• Design, build, and iterate on visually appealing and user-centric user interfaces for web and mobile applications.
• Collaborate with cross-functional teams, including developers, researchers, and product managers, to ensure seamless integration of visual components into the overall product architecture and user experience.
• Optimize user experience through intuitive design, clear information hierarchy, and accessibility best practices.
• Troubleshoot and debug usability issues by identifying and implementing design solutions that improve user flow and interaction.
• Participate actively in design reviews and critiques to uphold design standards, enhance visual consistency, and promote best practices in UI design.
• Stay abreast of the latest trends, updates, and best practices in UI design, user experience, and accessibility guidelines.
• Mentor and guide junior designers, sharing insights and expertise in UI design principles, design tools, and user-centered design methodologies.

Qualifications

• Minimum of 3 years of professional experience in UI/Visual Design, Graphic Design, or related role (excluding intern and volunteer experience).
• A bachelor's degree in design, visual communication, or a related field, or equivalent work experience with a strong focus on visual design and user experience.
• Excellent spoken and written English communication skills with the ability to effectively collaborate with diverse stakeholders and present design ideas clearly.
• Proficient in core UI design principles and methodologies, including user research, prototyping, and accessibility best practices.
• Hands-on experience with design tools and software, such as Figma, Sketch, and prototyping tools.
• Strong problem-solving skills, attention to detail, and a user-centric mindset focused on creating intuitive and visually appealing experiences.
• A commitment to continuous learning and staying abreast of the latest trends and best practices in UI design, user experience, and accessibility guidelines.
• A collaborative and team-oriented approach to working with cross-functional teams, including developers, researchers, and product managers.

Skills Measured

UI Design

• UI Design
  • Key principles of UI design
  • Layout
  • UI Design tools
  • Design System benefits
  • Color Theory
  • User testing
  • Space types
  • Typography
  • Card
  • Micro-interaction
  • Accessibility
  • UI elements
  • CTA
  • Interaction design patterns
  • Thumb-friendly mobile interfaces
  • Style Guides and branding
  • Iterative Design
• Usability Testing
  • Product adoption
  • Feature usability
  • Feature objectives
  • Usability Testing goals
  • Pain point
  • Fitts’s Law
  • Prototypes
  • Heuristic evaluation
  • Usability testing techniques
  • Design principles
  • Voice User Interface (VUI) design

Product Management Fundamentals

• Product Management Fundamentals
  • A/B testing
  • User flow analysis
  • Usability test
  • Customer discovery process

Network Entrance Assessments

UI Designer: Skills Validation

This qualification assessment tests the candidate's knowledge of UI Design fundamentals. It's composed of Q&A challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• UI Design Fundamentals
  • This challenge tests candidate familiarity with UI Design and should be suitable for mid-to-senior candidates. Most questions are derived from frequent UI Design interview questions.
• Usability Testing Fundamentals
  • This challenge tests candidate familiarity with Usability Testing and should be suitable for mid-to-senior candidates. Most questions are derived from frequent Usability Testing interview questions.
• Product Management Fundamentals
  • This challenge tests candidate familiarity with Product Management fundamentals and should be suitable for mid-to-senior candidates. Most questions are inspired by Product Management certifications and frequent Product Management interview questions.

UI/UX Designer

Summary

The UI/UX Designer plays a crucial role in shaping user experiences within the Andela Talent Network. In this position, individuals are instrumental in crafting, enhancing, and iterating on user-centric and engaging interfaces for web, mobile, and emerging platforms. Working collaboratively across teams, they ensure seamless integration of user journeys into the overall product architecture, optimize usability and performance, and champion design principles throughout the development lifecycle.

This entry-level role provides a platform for design enthusiasts to hone their skills, explore diverse interaction patterns, and progress their careers in user experience design. Successful candidates exhibit proficiency in core UI/UX design principles, demonstrate a deep understanding of user research methodologies, and showcase exceptional problem-solving skills in dynamic environments.

Key role responsibilities

• Craft, enhance, and iterate on user-centric and visually appealing interfaces for web, mobile, and emerging platforms.
• Collaborate with cross-functional teams, including developers, researchers, and product managers, to ensure seamless integration of user journeys into the overall product architecture.
• Optimize usability and performance through research, user testing, and iterative design processes.
• Troubleshoot and debug user experience issues, identifying and implementing effective solutions to improve user flow and interactions.
• Participate actively in design reviews and critiques to uphold design standards, enhance visual consistency, and promote best practices in UI/UX design.
• Stay abreast of the latest trends, updates, and best practices in user experience design, user research methodologies, and accessibility guidelines.
• Conduct user research through various methodologies like user interviews, surveys, and usability testing to understand user needs and pain points.
• Develop and iterate prototypes using design tools to communicate ideas and gather user feedback.
• Create and maintain design documentation, including style guides, user flows, and wireframes.
• Champion user-centered design principles throughout the development lifecycle, advocating for the user's needs and ensuring a positive user experience.

Qualifications

• Minimum of 3 years of professional experience in a UI/UX design, graphic design, or related role (excluding intern and volunteer experience).
• A bachelor's degree in design, visual communication, or a related field, or equivalent work experience with a strong focus on user experience design.
• Excellent spoken and written English communication skills with the ability to effectively collaborate with diverse stakeholders and present design ideas clearly.
• Proficiency in core UI/UX design principles and methodologies, including user research, prototyping, and accessibility best practices.
• Hands-on experience with design tools and software, such as Figma, Sketch, and prototyping tools. Strong problem-solving skills, attention to detail, and a user-centric mindset focused on creating intuitive and visually appealing experiences.
• A commitment to continuous learning and staying abreast of the latest trends and best practices in UI/UX design, user research methodologies, and accessibility guidelines.
• A collaborative and team-oriented approach to working with cross-functional teams, including developers, researchers, and product managers.

Skills Measured

Design Fundamentals

• Design Fundamentals
  • Design principles
  • Color theory
  • User interface (UI) design patterns and best practices
  • Typography
  • Iconography
  • Layout Design

User Research and Testing

• User Research and Testing
  • User research methodologies
  • Analyze and interpret user research data
  • User testing tools and techniques
  • Usability Testing

User Experience (UX) Design

• UX Design
  • Information Architecture
  • Wireframing
  • Prototyping

Product Management Fundamentals

• Product Management Fundamentals
  • A/B testing
  • User flow analysis
  • Usability test
  • Customer discovery process

Network Entrance Assessments

UI/UX Designer: Skills Validation

This qualification assessment tests the candidate's knowledge of UI/UX Design fundamentals. It's composed of Q&A challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• Product Design Fundamentals
  • This challenge tests the candidate's familiarity with Product Design and should be suitable for mid-to-senior candidates. Most questions are derived from frequent Product Design interview questions.
• Product Management Fundamentals
  • This challenge tests candidate familiarity with Product Management fundamentals and should be suitable for mid-to-senior candidates. Most questions are inspired by Product Management certifications and frequent Product Management interview questions.

UX Researcher

Summary

The UX Researcher plays a pivotal role in shaping user-centered experiences by translating user needs into actionable insights. They employ diverse research methodologies, like user interviews, surveys, and usability testing, to identify pain points and opportunities for improvement. Collaboratively working across teams, they analyze research data, communicate findings effectively, and champion user-centric principles throughout the development lifecycle.

This entry-level role provides a platform for research enthusiasts to hone their skills, explore diverse research methodologies, and delve deeper into the field of user experience research. Successful candidates possess strong analytical and communication skills, a deep understanding of user research principles, and a passion for advocating for the user's voice.

Key role responsibilities

• Conduct user research utilizing diverse methodologies like interviews, surveys, user testing, and card sorting to identify user needs, pain points, and opportunities for improvement.
• Analyze and interpret user research data to extract key insights and inform design decisions.
• Develop and maintain research plans outlining research objectives, methodologies, and analysis methods.
• Collaborate with cross-functional teams, including designers, developers, and product managers, to ensure user needs are understood and integrated throughout the development lifecycle.
• Effectively communicate research findings through reports, presentations, and workshops, advocating for user-centered design principles.
• Stay informed about the latest user research trends, methodologies, and best practices.
• Develop and maintain research documentation, including interview guides, survey questionnaires, and usability testing plans.
• Participate in the development and refinement of user personas and user journey maps to define user archetypes and interaction flows.
• Conduct competitive analysis to understand user experience trends and competitor offerings.
• Develop and implement A/B testing to evaluate the effectiveness of design solutions and user experiences.

Qualifications

• Minimum of 3 years of professional experience in a UX research role or a related field (excluding intern and volunteer experience).
• Bachelor's degree in user experience (UX) research, human-computer interaction (HCI), psychology, or a related field, or equivalent work experience.
• Excellent spoken and written English communication skills with the ability to effectively communicate research findings to diverse audiences.
• Strong understanding of user research methodologies like user interviews, surveys, usability testing, and data analysis techniques.
• Experience with user research tools and techniques, including user research platforms, data analysis tools, and user experience documentation tools.
• Strong analytical and problem-solving skills to interpret research data and identify user needs and pain points.
• A commitment to continuous learning and staying abreast of the latest trends and best practices in user research methodologies and user experience (UX) design.
• A collaborative and team-oriented approach to working with cross-functional teams, including designers, developers, and product managers.
• Passion for user experience (UX) research and a strong advocate for incorporating user needs into the design and development process.

Skills Measured

User Research

• User Research
  • User Interviews
  • Surveys
  • Observational Studies
  • Usability Testing
  • User Research Platforms
• Usability Testing
  • Task Analysis
  • Moderation Skills
  • Report Writing
• Ethnographic Research
  • Contextual Inquiry
  • Cultural Understanding

Data Analysis

• Data Analysis
  • Data Visualization
  • Statistics
  • Synthesis
  • Quantitative Analysis
  • Qualitative Analysis
  • Data Analysis Tools

UX Design

• UX Design
  • User-Centered Design
  • Empathy
  • Accessibility
  • UX Documentation Tools
  • Persona Development
  • Journey Mapping
  • Prototype Testing

Network Entrance Assessments

UX Researcher: Skills Validation

This qualification assessment tests the candidate's knowledge of UX Researcher fundamentals. It's Q&A challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores are met.

Assessment outline:

• Customer Journey Fundamentals
  • This challenge tests candidate familiarity with the Customer Journey concepts, including Fundamentals of Customer Journey Mapping, Applying customer journeys in common real-world scenarios, and Product Design. It should be suitable for mid-to-senior candidates. Most questions are derived from frequent Customer Journey interview questions.
• Data Interpretation Fundamentals
  • This challenge is an aptitude test that measures candidates' data interpretation abilities. It includes a set of questions that challenges the candidate to structure observations and recognize trends from different data sources. It should be suitable for mid-to-senior candidates. Most questions are derived from frequent Data Interpretation interview questions.
• Usability Testing Fundamentals
  • This challenge tests candidate familiarity with Usability Testing and should be suitable for mid-to-senior candidates. Most questions are derived from frequent Usability Testing interview questions.
• Attention to Detail
  • This assessment is designed to gauge a candidate’s attention to detail. The difficulty of the questions ranges from basic to intermediate, so the challenge should be suitable for any experienced professional. Most of the questions are inspired by attention-to-detail interview questions.

UX Writer

Summary

The UX Writer plays a pivotal role in crafting clear, concise, and user-friendly language that guides and engages users throughout their digital experience. They collaborate closely with designers, product managers, and content strategists to translate complex information into intuitive and user-centered microcopy, including labels, error messages, and call-to-actions. By advocating for a consistent brand voice and user accessibility, they champion clear and effective communication across all digital touchpoints.

This entry-level role provides a platform for passionate writers to hone their craft, explore diverse writing styles and formats, and delve deeper into the field of user-centered writing. Successful candidates exhibit exceptional writing skills, a deep understanding of user-centered design principles, and a passion for crafting engaging and informative user experiences.

Key role responsibilities

• Craft clear, concise, and user-centered microcopy, including labels, error messages, instructions, and call-to-actions, that guide users through the digital experience.
• Collaborate with designers, product managers, and content strategists to understand user needs, product functionalities, and brand voice.
• Translate complex information into intuitive and engaging content, ensuring clarity and accessibility for diverse audiences.
• Maintain consistency in tone, style, and terminology across all user touchpoints, adhering to brand guidelines and style guides.
• Conduct user research and analysis to understand user behavior and language preferences, informing content strategy decisions.
• Conduct usability testing to evaluate the effectiveness of written content and identify areas for improvement.
• Stay informed about the latest trends and best practices in UX writing, content design, and user experience (UX) principles.
• Collaborate with engineers and developers to ensure technical feasibility and seamless integration of content within the product.
• Document content creation decisions and maintain user interface (UI) text libraries and style guides.
• Advocate for clear and effective communication across all digital touchpoints, championing the user's experience.

Qualifications

• Minimum of 3 years of professional experience in UX writing, content creation, or related field (excluding intern and volunteer experience).
• Bachelor's degree in English, communication, journalism, or a related field, or equivalent work experience.
• Excellent written and verbal communication skills with the ability to craft clear, concise, and engaging content for diverse audiences.
• Strong understanding of user experience (UX) writing principles and best practices, including user-centered design, information architecture, and microcopy writing.
• Experience with content creation and management, including writing various content formats like web copy, email marketing, and user interface (UI) text.
• Proficiency in grammar, punctuation, and style guidelines.
• Understanding of content strategy and the ability to collaborate with designers, product managers, and engineers to ensure consistency and alignment with product goals.
• Ability to conduct user research and analyze user data to inform content decisions.
• Passion for clear and concise communication and a commitment to user-centered design principles.
• Familiarity with content management systems (CMS) and UX writing tools might be an advantage.

Skills Measured

UX Principles

• UX Principles
  • User-Centered Design
  • Information Architecture
  • Accessibility

User Research

• User Research
  • User Interviews
  • Surveys
  • Usability Testing

Content Creation

• Writing Skills
  • Grammar
  • Punctuation
  • Concision
  • Conciseness
  • Tone
• Content Writing
  • Microcopy
  • Web Copy
  • User Interface (UI) Text
  • SEO and Keyword Optimization
• Content Strategy
  • Collaboration
  • Planning
  • User Research
  • Information Architecture
  • Content Audit
• Tools
  • Content Management Systems (CMS)
  • UX Writing Tools

Network Entrance Assessments

UX Writer: Skills Validation

This qualification assessment tests the candidate's knowledge of UX Writer fundamentals. It's composed of Q&A challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if the cut-off score is met.

Assessment outline:

• UX Writing Fundamentals
  • This challenge tests candidate familiarity with UX Writing and should be suitable for mid-to-senior candidates. Most questions are derived from frequent UX Writing interview questions.
• Attention to Detail
  • This assessment is designed to gauge the candidate’s attention to detail. Question difficulty ranges from basic to intermediate, so the challenge should be suitable for any experienced professional. Most of the questions are inspired by attention to detail interview questions.

Vue.js

The Vue.js Developer role plays a crucial part in shaping the technological landscape within the Andela Talent Network. Within this role, individuals are pivotal in crafting, enhancing, and maintaining front-end applications using Vue.js. They ensure seamless integration of front-end components, optimize application performance, and tackle complex challenges collaboratively across teams.

This entry-level position offers Vue.js enthusiasts a platform to refine their skills, delve into cutting-edge technologies, and advance their careers in front-end development. Ideal candidates exhibit proficiency in Vue.js, demonstrate a profound understanding of front-end architecture, and showcase adept problem-solving skills in dynamic software environments.

Key role responsibilities

• Design, develop, and maintain scalable and interactive frontend applications using Vue.js.
• Collaborate closely with cross-functional teams to integrate frontend components seamlessly within the overall application architecture.
• Optimize application performance to ensure a smooth and efficient user experience.
• Debug frontend issues effectively, employing troubleshooting techniques and implementing robust solutions.
• Actively participate in code reviews to enforce coding standards, enhance code quality, and advocate for Vue.js best practices.
• Stay updated with the latest trends, advancements, and best practices in Vue.js and frontend development.
• Provide mentorship and support to junior developers, sharing knowledge and expertise in frontend engineering with the team.

Qualifications

• A minimum of 3 years of professional experience in a Vue.js developer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Proficient in Vue.js with a strong understanding of front-end development principles.
• Hands-on experience with front-end technologies, including HTML, CSS, and JavaScript, and familiarity with Vue.js ecosystem tools such as Vuex for state management.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

Vue.js Development

• •Vue.js Fundamentals
  • Vue.js core concepts such as data binding, directives, and lifecycle hooks
  • Components, computed properties, and event handling
  • Application state management using Vuex
  • Client-side routing using Vue Router
  • Reactive and dynamic user interfaces
• JavaScript Language
  • JavaScript syntax, including variables, scope, data types, functions, and classes
  • JavaScript ES6+ features, including arrow functions, closures, template literals, and destructuring assignments
  • Asynchronous programming with callbacks, Promises, and async/await
• Data Fetching and API Integration
  • Consuming REST and GraphQL endpoints
• Testing and Quality Assurance
  • Testing methodologies, including mocking, stubbing, and test-driven development (TDD)
  • Unit testing frameworks for Vue.js (Jest, Mocha, or Vue Test Utils)
  • Unit testing best practices
• Debugging and performance optimization

Front-End Development

• User Interface Design
  • HTML5 and CSS3
  • Responsive Design
  • Cross-Browser Compatibility
• Software Configuration Management (Git)
  • SCM concepts
  • Git features
  • Branching strategies
• Build Tools and Task Runners

Network Entrance Assessments

Vue.js: Skills Validation

This qualification assessment tests the candidate's front-end development and Vue.js fundamentals knowledge. It comprises Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• JavaScript Fundamentals
  • Tests candidate familiarity with JavaScript language and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• Vue.js Code Challenge
  • This intermediate challenge exercises candidate's knowledge of a few fundamentals: event handlers, managing state, manipulating arrays and sorting.
• Vue.js Code Challenge
  • This intermediate-to-advanced challenge, candidates exercise a variety of event handling techniques (clicks, context menu, key presses, change listeners), accept an array of props, manage two-dimensional array state (involving pushing, splicing and unshifting) and fulfill a variety of written requirements.

Vue.js: Technical Interview

This assessment is designed to test your practical knowledge of frontend development using Vue.js. Candidates who pass this challenge are able to work with Vue.js to implement frontend web applications using JavaScript and writing unit tests using Jest.

During the assessment, candidates will tackle a hands-on problem tailored real-world scenario in Vue.js development. Their solution will be frist verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Vue.js Code Challenge:
  • This intermediate-to-advanced challenge tests a candidate's ability to interact with the DOM using event listeners, implement specific application logic cleanly, and use basic data structures and conditionals to enforce uniqueness in component state.

iOS

Summary

The iOS Engineer holds a pivotal position within the Andela Talent Network, specializing in the development and refinement of iOS applications. Tasked with the creation of robust, intuitive, and high-performance iOS solutions, this role demands adeptness in Swift programming, proficiency in Apple's development tools, and a keen eye for user experience design. Collaborating closely with multidisciplinary teams, the iOS Engineer contributes to delivering cutting-edge mobile experiences, optimizing app performance, and addressing intricate technical hurdles.

This role offers seasoned iOS developers a platform to showcase their expertise, drive innovation in mobile app development, and make substantial contributions to our product ecosystem.

Key role responsibilities

• Design, develop, and maintain iOS applications adhering to high standards of quality, performance, and security.
• Implement scalable and robust app architectures utilizing Swift and adhering to iOS design patterns and best practices.
• Create intuitive and visually appealing user interfaces consistent with Apple's design guidelines to enhance user experience.
• Collaborate closely with backend developers, designers, and product managers to seamlessly integrate mobile apps with backend services, APIs, and databases.
• Proactively identify and address performance bottlenecks, memory management issues, and other technical challenges within iOS applications.
• Write comprehensive unit tests and conduct rigorous testing to ensure the stability and reliability of iOS apps. Effectively debug and troubleshoot issues as they arise.
• Stay abreast of the latest iOS development trends, tools, and technologies, and incorporate them into app development processes to enhance quality and efficiency.
• Uphold coding standards, adhere to best practices, and actively participate in code reviews to maintain high code quality and promote maintainability.

Qualifications

• A minimum of 3 years of professional experience in a Data Engineer role (excluding intern and volunteer experience).
• A bachelor's degree in a technology-related field or equivalent work experience.
• Excellent spoken and written English communication skills.
• Demonstrated expertise in iOS app development, supported by a portfolio showcasing successful app projects.
• Mastery of Swift programming language, encompassing a deep understanding of language constructs and libraries.
• Proficiency in utilizing Xcode, Interface Builder, and other iOS development tools to build and debug applications effectively.
• Strong problem-solving skills, attention to detail, and a results-oriented mindset.
• A commitment to continuous learning and adapting to evolving technologies.
• A collaborative and team-oriented approach to projects.

Skills Measured

iOS Mobile Development

• iOS Fundamentals
  • iOS application architecture and lifecycle
  • Core Foundation and Core Services frameworks
  • Grand Central Dispatch (GCD) and OperationQueue
• Swift Language
  • Core syntax, data types, and control flow structures
  • Proficiency in working with functions, closures, and optionals
• User Interface (UI) Design
  • Interface Builder or programmatic UI for designing user interfaces
  • UIKit components and their customization options
  • Auto Layout for creating adaptive and responsive layouts
• Networking and Data Management
  • URLSession framework for making network requests
  • RESTful API integration in iOS applications
  • Core Data framework for local data storage
• Testing and Debugging
  • Test-driven development (TDD)
  • Unit testing best practices
  • XCTest framework for unit testing
  • Debugging techniques in Xcode IDE
• UI Design Guidelines
  • Apple's Human Interface Guidelines (HIG)
  • User-centered design principles

Mobile Application Design

• Design Patterns & System Design
  • Singleton, Factory, Builder, Observer, Adapter
  • Design principles (e.g., SOLID)
  • Understanding of the MVVM pattern and its implementation in iOS
• Software Version Control
  • Git usage and best practices
  • Collaborative development workflows

Network Entrance Assessments

iOS: Skills Validation

This qualification assessment tests the candidate's knowledge of iOS mobile development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate theoretical knowledge and hands-on skills. Each challenge focuses on a subject area and covers concepts, features, and real-world situations.

A candidate is approved in this test if all challenge level cut-off scores at met.

Assessment outline:

• iOS Fundamentals
  • This quiz tests fundamental candidate knowledge of the iOS programming ecosystem.
• Swift Language
  • Tests candidate familiarity with Swift language and features. Questions range from very easy to fairly difficult, so the score should let you differentiate between both junior and senior developers as well as between seniors.
• Swift Code Challenge
  • This is a intermediate-level classical algorithmic challenge testing the stack data structure or recursion acting as an implicit stack.

iOS: Technical Interview

This assessment evaluates the candidate's expertise in iOS through a real-time coding challenge. It's designed to be used as an interactive session with the technical screener.

During the assessment, candidates will tackle a hands-on problem tailored to the core principles of iOS and mobile development. Their solution will first be verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewers step in to assess the overall efficiency of the candidate's solution.

Assessment outline:

• Swift Code Challenge:
  • The first challenge tests candidate comprehension of debugging retain cycles and resolving leaking memory in a small application.
  • The second challenge tests whether candidates can understand and implement a simple thread safety mechanism.