onsite
Data Engineer - Hasslacher Holding GmbH
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 data warehouses.
- Design and implement data models and schemas that optimize query performance and support business intelligence needs.
- Collaborate with data scientists and analysts to understand data requirements and deliver high‑quality datasets.
- Monitor pipeline performance, troubleshoot issues, and implement optimizations to ensure reliability and scalability.
- Implement data governance practices, including data quality checks, lineage tracking, and security controls.
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, ETL concepts, 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.