onsite
Data Engineer - APS Group GmbH & Co KG
Data Engineer
Design, build, and maintain scalable data pipelines using Python, SQL, and AWS services to support analytics and machine learning initiatives.
About the role
Key Responsibilities
- Develop and maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into cloud data warehouses.
- Design and implement data models, schemas, and partitioning strategies to optimize query performance and storage costs.
- Collaborate with data scientists and analysts to understand data requirements and deliver high‑quality, reproducible datasets.
- Monitor pipeline health, troubleshoot failures, and implement automated alerts and recovery mechanisms.
- Ensure data quality, lineage, and compliance with security and governance policies.
Requirements
- Proven experience building data pipelines with Python and SQL.
- Hands‑on knowledge of AWS services such as S3, Redshift, Glue, and Lambda.
- Strong understanding of data modeling, normalization, and performance tuning.
- Experience with version control (Git) and CI/CD for data workflows.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.