JUMIA is an e-commerce startup with an aim to mimic Amazon’s success by delivering a wide range of items, from toys to generators across the African continent. Shortly after the startup of the business in Nigeria, JUMIA launched warehouses in four other growing countries which include: Egypt, Morocco, Kenya and Cote d'Ivoire.

AWS Data Engineer

What you will be doing

• 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’

• 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)

• Python
• PySpark
• SQL
• AWS data ecosystem
• GitLab
• S3 buckets
• Apache Airflow (MWAA)
• Apache Iceberg
• AWS Glue Catalog
• AWS Athena
• Data modeling
• Medallion Architecture
• Github
• Terraform
• CICD pipelines

• Degree in Information Technology, Computer Science, or a related field
• +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