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150
K
Top-rated, highly skilled global talent pool
$
80,000
Cost savings per talent hired through Andela
66
%
Faster time to hire
33
%
Faster project delivery
Tech leaders trust Andela to quickly source qualified talent
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Experienced Professionals Are Ready To Get Started On Your Next Data Engineering Project
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 4 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.
Data Architecture Fundamentals
This challenge tests 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 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.
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, technologists 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:
- 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.
Allan S.
Data Engineer
Experience:
6 years
Availability:
Full-time
Allan is a highly proficient and dedicated Senior Data/Analytics Engineer with expertise in data collection, processing, and advanced data modeling using dbt, and orchestration with Airflow & Prefect. He excels in dynamic dashboard development, particularly with Tableau, Powerbi, Looker and Metabase empowering stakeholders to make informed decisions.
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Alejandro R.
Data Engineer
Experience:
4 years
Availability:
Full-time
Alejandro is a Data & DataOps Engineer with 4+ years of experience in analytics, data, and business applications (pricing, marketing, product, and operations). He has widely contributed to CI/CD pipelines and cloud services to deliver highly maintainable and scalable data products.
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.avif)
Eugene I.
Back-End Engineer
Experience:
10+ years
Availability:
Full-time
A dynamic and enthusiastic Software Engineer with over 13 years of working experience in building software from idea stage to implementation and designing architectural solutions for technology projects. He has held leadership positions in multinational companies which has built his skills with working and leading engineering teams. Eugene simply likes to get the work done.
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Expert in
Omotayo I.
Data Analyst
Experience:
10+ years
Availability:
Full-time
Seasoned Data professional with 8+ years' expertise in statistical modeling, data automation, and impactful dashboard creation. Skilled in Python, R, SQL, and BigQuery, I specialize in microfinance, leveraging A/B testing, quantitative research, and statistical computing to address complex challenges. Proven success in developing credit scoring models, client churn predictions, and accurate forecasting solutions.
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Expert in
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
Get all your initiatives back on the table
Back-End
Python
Back-End
Python
Back-End
Python
Back-End
Python
Front-End
React
Front-End
React
Front-End
React
Front-End
React
Data
R
Data
R
Data
R
Data
R
Mobile
Android
Mobile
Android
Mobile
Android
Mobile
Android
Back-End
Java
Back-End
Java
Back-End
Java
Back-End
Java
Front-End
JavaScript
Front-End
JavaScript
Front-End
JavaScript
Front-End
JavaScript
Data
TensorFlow
Data
TensorFlow
Data
TensorFlow
Data
TensorFlow
Mobile
iOS
Mobile
iOS
Mobile
iOS
Mobile
iOS
Back-End
Go
Back-End
Go
Back-End
Go
Back-End
Go
Data
Excel
Data
Excel
Data
Excel
Data
Excel
Front-End
Node.js
Front-End
Node.js
Front-End
Node.js
Front-End
Node.js
Front-end
CSS
Front-end
CSS
Front-end
CSS
Front-end
CSS
Data
SQL
Data
SQL
Data
SQL
Data
SQL
Data
Apache
Data
Apache
Data
Apache
Data
Apache
Back-End
C#
Back-End
C#
Back-End
C#
Back-End
C#
Front-End
Typescript
Front-End
Typescript
Front-End
Typescript
Front-End
Typescript
Data
PyTorch
Data
PyTorch
Data
PyTorch
Data
PyTorch
Front-End
HTML
Front-End
HTML
Front-End
HTML
Front-End
HTML
Back-End
Ruby
Back-End
Ruby
Back-End
Ruby
Back-End
Ruby
Back-End
PHP
Back-End
PHP
Back-End
PHP
Back-End
PHP
Work the way that
works for you
Andela’s Adaptive Hiring approach offers a flexible engagement model that lets you create and manage teams in any configuration.
Hire Individuals
Fill a critical gap or place a highly skilled problem solver. Have someone cover maternity leave. Or put a full-time, project-driven technologist in place.
Create Managed Projects
We ensure on time, on budget delivery for the most demanding projects, like custom application development and AI rapid prototyping.
Frequently Asked Questions
Where can I hire Data Engineers?
Andela is a premier global talent marketplace that connects companies with highly skilled Data Engineers from around the world. With a rigorous certification process and focus on quality talent, Andela provides access to a diverse pool of experienced Data professionals ready to join your team.
How are Andela Data Engineers different?
Andela Data Engineers stand out for their exceptional technical skills, work ethic, and cultural fit. Through an AI-driven platform, rigorous certification process, and professional matchers, Andela ensures companies are connected to highly skilled professionals who are not only proficient in Data Engineering but also possess strong problem-solving abilities, excellent communication skills, and a passion for continuous learning. Andela’s developers are also trained in remote collaboration and agile methodologies, enabling seamless integration into your team.
How long does it take to hire Data Engineers through Andela?
Andela’s streamlined hiring process ensures you can access top Data Engineers quickly. Once you submit your hiring request, Andela typically provides you with a curated list of pre-qualified candidates within seconds and you can hire within 48 hours - after conducting interviews and making a decision. With Andela’s global talent pool, you can scale your Data Engineering team rapidly, without compromising on quality.
What are the minimum requirements of all Andela Data Engineers?
All Andela Data Engineers must meet the following requirements to be eligible to apply to the network:
- A minimum of 4 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.
What are the typical responsibilities of a Data Engineer?
- 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.
What skills should a Data Engineer possess?
Successful Data Engineers should demonstrate proficiency in data engineering tools, possess a deep understanding of data architecture, and showcase problem-solving abilities in dynamic data environments. 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.
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