Data Engineer - Mid
Tasks
- Apply data governance and security best practices
- Build batch and real-time data pipelines
- Collaborate with analysts and data scientists
- Design scalable data architectures
- Develop automated ETL workflows
- Implement data quality validation
- Implement data security measures
- Integrate structured and unstructured data
- Maintain documentation and data lineage
- Optimize database performance and queries
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Data Governance | Data Pipelines | Data Security | Data integration | Database Performance Optimization | Database performance | ELT | ETL | GCP | Metadata Management | NoSQL | Performance optimization | Python | SQL | Workflow Orchestration
Roles
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