Senior Data Engineer
Tasks
- Apply access controls and data masking
- Apply transformation logic
- Build and maintain data pipelines
- Create reusable datasets
- Create runbooks and operational documentation
- Deploy pipelines with CI CD
- Embed data quality validation and monitoring
- Follow version control and code review best practices
- Handle PII and retention governance
- Handle data profiling reconciliation and exceptions
- Implement governed data products
- Investigate data defects and performance issues
- Maintain data lineage and data dictionaries
- Map source to target fields
- Mentor engineers and review pull requests
- Perform root cause analysis
- Support production handover
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | Automated testing | CI/CD | Cause analysis | Code review | Data Engineering | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Reconciliation | Data Validation | Data masking | Data profiling | ELT | ETL | Monitoring | PII | Root Cause Analysis | Root cause | Version control
Education
N/A
Roles
Regions
Countries
States
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