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The Andela Standard: Network Entrance Assessments

Successful candidates demonstrate proficiency in data engineering tools, possess a deep understanding of data architecture, and showcase problem-solving abilities in dynamic data environments. All candidates must meet the following criteria to be eligible to apply to the Andela marketplace.

1. Qualifications

Qualification criteria:

  • 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.

2. Skill 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.

3. 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 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:

  • 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.

Build Your .NET Dream Team

Islomzhon Y.
Full-Stack Engineer

Experience:

9 years

Availability:

Full-time
Jon is a Senior Front-End Engineer specialising in JavaScript, CSS, Node.js, React.js, Angular.js, and Redux. He has over 7 years of professional experience working with teams remotely and on-site, delivering high-quality projects for clients in the IoT, EdTech, compliance, eCommerce, finance, banking, and biotech sectors.
Show More
Expert in
Node.js
React.js
TypeScript
Next.js
JavaScript
Git
CSS
Redux
REST
Linux
Islomzhon Y.
Full-Stack Engineer

Experience:

9 years

Availability:

Full-time
Jon is a Senior Front-End Engineer specialising in JavaScript, CSS, Node.js, React.js, Angular.js, and Redux. He has over 7 years of professional experience working with teams remotely and on-site, delivering high-quality projects for clients in the IoT, EdTech, compliance, eCommerce, finance, banking, and biotech sectors.
Show More
Expert in
Node.js
React.js
TypeScript
Next.js
JavaScript
Git
CSS
Redux
REST
Linux
Divya T.
Front-End Engineer

Experience:

7 years

Availability:

Full-time
Software Engineer with 7+ years of experience in different Front-end technologies. Worked in multiple industries, such as Real Estate, Healthcare, Education, E-commerce and AgriTech. Worked with early-stage & mid-stage Start Ups with a 100% distributed team. Led multiple engineering initiatives, and teams, and established release cycle & QA.
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Expert in
Node.js
React.js
JavaScript
Next.js
Jest
Redux
CSS
Express.js
HTML
MongoDB
Emmanuel D.
Full-Stack Engineer

Experience:

6 years

Availability:

Full-time
Emmanuel is a seasoned Full-Stack Engineer, boasting over 6 years of experience crafting user-friendly web applications and essential business API services. His expertise spans a wide array of technologies, including JavaScript, Node.js, HTML/CSS, React Native, Vue.js, React, PHP, PostgreSQL, and more.
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Expert in
MySQL
JavaScript
Node.js
React.js
TypeScript
Git
Heroku
HTML
Redis

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