AWS Data Engineer

Jumia Group

Job Description

Designing and developing data pipelines with Python, PySpark, and SQL, using GitLab to keep everything organized and versioned. You’ll work with S3 buckets to store tons of raw and processed data, manage complex workflows with Apache Airflow (MWAA), and use tools like Apache Iceberg and AWS Glue Catalog to keep the data lake tidy and accessible. Plus, you’ll query data with AWS Athena and apply data modeling skills to support analytics and reporting, all while understanding how data flows through a Medallion Architecture.

Requirements

Ideally, a degree in Information Technology, Computer Science, or a related field
Ideally, +5 years of experience within the Data Engineering landscape
Strong expertise in Python, PySpark, SQL, and the overall AWS data ecosystem
Strong problem-solving and analytical skills
Ability to explain technical concepts to non-technical users
Proficiency to work with Github
Terraform and CICD pipelines are a great ‘nice-to-have’

How to Apply

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About the Company

Jumia is a pioneering e-commerce platform in Africa that leverages technology to transform everyday life across the continent. The company positions itself as a bridge between consumers and sellers, providing an extensive online marketplace that offers millions of products and services while focusing on convenience, affordability, and accessibility. With over...

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