Senior Data Engineer – Data Quality & Observability
Tasks
- Build data quality rules using Rule as Code
- Create automated validation checks
- Define data governance standards and remediation workflows
- Define data lineage
- Design scalable data quality framework
- Develop data quality reporting dashboards
- Implement data observability monitoring and alerting
- Implement data validation solutions
- Implement validation processes for completeness accuracy integrity
- Integrate data quality checks into CI/CD pipelines
- Investigate data issues and perform root cause analysis
Perks/Benefits
- Continuous improvement opportunities
- Cross-functional collaboration
- Documentation and knowledge sharing
- Fully remote work
- Ownership over data reliability strategy
Skills/Tech-stack
Alerting | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Redshift | Aurora PostgreSQL | Batch Processing | CI/CD | Cause analysis | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Validation | ETL | Git | Great Expectations | Monitoring | Referential Integrity | Root Cause Analysis | Root cause | Rule as Code | SQL | Soda | “as-code”
Education
N/A
Roles
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