onsite
Data Engineer Toll gn - DKV Euro Service GmbH + Co.KG
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure, leveraging Python, SQL, AWS, and Spark to support toll data analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines for toll data ingestion, transformation, and storage.
- Implement data models and schemas in AWS data services (Redshift, S3, Glue) to support analytics and reporting.
- Optimize ETL processes using Spark and Python for performance and scalability.
- Collaborate with data scientists and business analysts to understand data requirements and deliver actionable insights.
- Monitor pipeline health, troubleshoot issues, and implement automated alerts and logging.
Requirements
- Proven experience as a Data Engineer or similar role, with strong Python and SQL skills.
- Hands‑on experience with AWS data services (Redshift, S3, Glue, Lambda) and Spark.
- Solid understanding of data modeling, ETL best practices, and performance tuning.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.