Data Engineer
Tasks
- Automate data processing workflows
- Build and maintain data pipelines
- Design data structures
- Develop and maintain ETL and ELT processes
- Document data flows and architectures
- Ensure GDPR compliance
- Ensure data quality and validation
- Implement data governance standards
- Implement logging and monitoring
- Ingest and transform data using Databricks
- Integrate on-premise and cloud data sources
- Investigate and resolve data incidents
- Manage metadata data lineage and data classification
- Monitor pipeline performance
- Optimize cloud storage and processing costs
- Provide technical support for production data flows
- Replicate and expose data to SAP BW and cloud data lake
Perks/Benefits
- Extended holiday entitlement
- Meal tickets
- Private health insurance
- Professional development
- Work-life balance
Skills/Tech-stack
API Integration | AWS | Azure | Data Governance | Data Lake | Data Quality | Data Warehouse | Databricks | ELT | ETL | GDPR | Medallion Architecture | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
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