Jumia is a leading pan-African e-commerce platform. Its mission is to improve the quality of everyday life in Africa by leveraging technology to deliver innovative, convenient and affordable online services to customers, while helping businesses grow as they use Jumia’s platform to better reach and serve customers.
Job Description
- Design and develop pipelines using Python, PySpark, and SQL
- Use GitLab as the versioning control system
- Utilize S3 buckets for storing large volumes of raw and processed data
- Implement and manage complex data workflows using Apache Airflow (MWAA) to orchestrate tasks
- Utilize Apache Iceberg (or similar) for managing and organizing data in the data lake
- Create and maintain data catalogs using AWS Glue Catalog to organize metadata
- AWS Athena for interactive querying
- Familiarize with data modeling techniques to support analytics and reporting requirements, as well as knowledge of the data journey stages within a data lake (Medallion Architecture)
What we are looking for
- 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.
Method of Application
Meet the Qualifications? Apply now at Jumia on job-boards.eu.greenhouse.io