Data Engineer – Senior Level
Tasks
- Build batch data pipelines
- Build real-time data pipelines
- Collaborate with analysts and data scientists
- Design data architectures
- Develop ETL pipelines
- Implement data governance and security
- Implement data quality validation
- Integrate multi-source datasets
- Maintain data documentation
- Monitor data accuracy and completeness
- Optimize database performance
- Secure data using classification guidelines
- Track data lineage
- Transform and normalize data
- Translate intelligence requirements into data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Cloud Native | Cloud Native Architecture | Containerization | Data Governance | Data Lineage | Data Pipelines | Data Quality | Data Security | Data Transformation | Data integration | Database Performance Optimization | Database performance | Distributed Storage | ETL | NoSQL | Performance optimization | Real Time | Real-time Processing | SQL | Serverless computing | Time processing
Education
Roles
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