onsite
Data Engineer Data Warehouse - CEWE
Data Engineer
Data Engineer focused on building and maintaining scalable data warehouse solutions using Python, SQL, and AWS services, with expertise in ETL pipelines and Spark for large‑scale data processing.
About the role
Key Responsibilities
- Design, develop, and optimize ETL pipelines to ingest, transform, and load data into the enterprise data warehouse.
- Implement and maintain data models, schemas, and metadata management for analytical reporting.
- Collaborate with data scientists and business analysts to ensure data quality, consistency, and accessibility.
- Leverage AWS services (Redshift, S3, Glue) and Apache Spark for scalable data processing.
- Monitor performance, troubleshoot issues, and continuously improve data workflows.
Requirements
- Proven experience as a Data Engineer with strong SQL and Python skills.
- Hands‑on knowledge of data warehouse concepts and ETL tools.
- Experience with AWS data services and Spark or similar big‑data frameworks.
- Strong analytical mindset and problem‑solving abilities.
- Excellent communication skills in German and English.
Skills
pythonsqlawsapache spark