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Data Engineer - Da Vinci Engineering GmbH
Data Engineer
Build and maintain scalable data pipelines using Python, SQL, and AWS services, ensuring high data quality and performance for analytics and machine learning initiatives.
About the role
Key Responsibilities
- Design, develop, and optimize data pipelines and workflows using Python, SQL, and Apache Spark on AWS infrastructure.
- Implement robust ETL processes, data quality checks, and monitoring to support analytics and ML teams.
- Collaborate with data scientists and business stakeholders to translate requirements into scalable data solutions.
- Maintain and evolve data models, schemas, and metadata repositories for enterprise data lake and warehouse.
- Ensure compliance with security, governance, and data privacy standards across all data assets.
Requirements
- 3+ years of experience as a Data Engineer or similar role.
- Strong proficiency in Python, SQL, and experience with Spark or similar big‑data frameworks.
- Hands‑on experience with AWS services (S3, Redshift, Glue, EMR, Athena).
- Solid understanding of data modeling, ETL best practices, and data governance.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonsqlawsapache spark