Senior Data Engineer
Tasks
- Apply data governance policies and access controls
- Build data pipelines for ingestion, transformation, and storage
- Build self service datasets and analytical layers
- Define metrics
- Design event driven data workflows
- Develop and maintain data engineering data product
- Ensure data quality accuracy and observability
- Implement batch data workflows
- Implement canonical data models
- Implement security best practices
- Improve pipeline efficiency
- Monitor pipeline performance and reliability
- Optimize engineering data product
- Troubleshoot data pipeline issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Azure | CI/CD | Cloud platform | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Distributed Systems | Docker | ELK | Event Driven | Event-driven architecture | Git | GitLab CI | Google Cloud | Google Cloud Platform | Grafana | Jenkins | Observability | Python | SQL | Security | Streaming Architecture
Education
Roles
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