Senior Data Engineer – Data Quality & Observability
Tasks
- Build automated validation checks
- Build reporting for data quality trends
- Collaborate on data governance and ownership
- Create validation processes for quality dimensions
- Define and maintain data lineage
- Design and implement enterprise Data Quality Framework
- Develop rule as code data quality rules
- Implement data observability monitoring and alerting
- Integrate data quality checks into CI/CD pipelines
- Lead data validation with Great Expectations
- Perform root cause analysis and preventive fixes
Perks/Benefits
Skills/Tech-stack
Alerting | Amazon Aurora | Amazon Redshift | Batch Processing | CI/CD | Cause analysis | Dashboards | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Validation | ETL | Git | Great Expectations | Monitoring | PostgreSQL | Reconciliation | Referential Integrity | Root Cause Analysis | Root cause | Rule as Code | SQL | Soda | “as-code”
Education
N/A
Roles
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