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Data Engineer - KPMG Wirtschaftsprufungs- und Steuerberatungs GmbH
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure using Python, SQL, Spark, and AWS services. Focus on data quality, automation, and collaboration with analytics teams.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and load large volumes of data from diverse sources into data lakes and warehouses.
- Implement data quality checks, monitoring, and alerting to ensure reliability and accuracy of data assets.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable data solutions.
- Optimize performance of ETL processes using Spark, SQL, and other big‑data technologies.
- Manage cloud infrastructure (AWS) and containerization (Docker) to support scalable data workflows.
- Document data models, pipeline architecture, and best practices for future maintenance and onboarding.
Requirements
- 3+ years of experience as a Data Engineer or similar role.
Skills
pythonsqlapache sparkawsdockerairflow