Senior Data Engineer – Data Quality & Observability
Tasks
- Build automated validation checks
- Create validation processes for data quality dimensions
- Define governance standards for validation frequency remediation metrics
- Design enterprise data quality framework
- Develop data quality dashboards
- Develop rule as code data quality rules
- Implement data observability monitoring alerting reporting
- Implement data validation solutions
- Integrate data quality checks into CICD pipelines
- Maintain data lineage
- Perform root cause analysis for data issues
Perks/Benefits
- Continuous improvement opportunities
- Cross-functional collaboration
- Exposure to modern data validation frameworks
- Fully remote work
- Ownership over data reliability strategy
Skills/Tech-stack
Alerting | Amazon Redshift | Anomaly Detection | Batch Processing | CI/CD | Data Governance | Data Integrity | Data Lineage | Data Modeling | Data Observability | Data Reconciliation | Data Validation | ETL | Git | Great Expectations | Monitoring | PostgreSQL | Reporting | Rule as Code | SQL | Soda | “as-code”
Education
N/A
Roles
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