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Data Engineer - KBV Kassenarztliche Bundesvereinigung
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure using Python, SQL, and AWS services to support analytics and machine learning initiatives.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into data warehouses and lakes.
- Implement data modeling best practices, ensuring high data quality, consistency, and performance across analytics workloads.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver actionable insights.
- Optimize data storage and processing using AWS services such as Redshift, S3, Glue, and Athena.
- Monitor pipeline health, troubleshoot issues, and implement automated alerts and recovery mechanisms.
Requirements
- 3+ years of experience in data engineering or related roles.
- Experience with data modeling, schema design, and performance tuning.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.