Data Engineer (Hybrid set up)
Tasks
- Build data transformation pipelines
- Create and maintain data documentation
- Design data pipelines
- Develop data ingestion pipelines
- Enable data self-service
- Implement end to end data flows
- Improve data discoverability
- Maintain data pipelines
- Monitor data pipeline performance
- Participate in code reviews
- Resolve data quality issues
- Support data governance standards
Perks/Benefits
Skills/Tech-stack
AWS | Analytics | Apache Spark | Data Governance | Data Ingestion | Data Marts | Data Pipelines | Data Processing | Data Transformation | Data Warehousing | Distributed data | Distributed data processing | Metadata Management | Microsoft Azure | Python
Education
N/A
Roles
Regions
Countries
States
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