onsite
Senior Data & Integration Engineer - LZ Informatik
Implementation Engineer
Lead complex data integration projects, architecting scalable ETL pipelines and data models using Python, SQL, Spark, and AWS services to deliver high‑quality, real‑time data solutions.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines that ingest, transform, and load data from diverse sources into enterprise data warehouses.
- Architect scalable data integration solutions using Python, SQL, Apache Spark, and AWS services (Glue, S3, Redshift).
- Collaborate with data scientists, analysts, and business stakeholders to define data requirements, quality standards, and performance metrics.
- Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability.
- Optimize existing data workflows for performance, cost, and maintainability.
Requirements
- 5+ years of experience in data engineering, with a strong focus on ETL and data integration.
Skills
pythonsqlawsapache spark