Senior Data Engineer – Data Quality & Observability
Tasks
- Build automated validation checks
- Create validation processes for data quality dimensions
- Define data governance ownership and standards
- Design and implement data quality frameworks
- Develop quality reporting dashboards
- Develop rule as code data quality rules
- Implement data observability monitoring and alerting
- Implement data validation solutions
- Integrate data quality checks into CI/CD pipelines
- Investigate data issues and perform root cause analysis
- Maintain data lineage
Perks/Benefits
- Collaboration with cross-functional teams
- Fully remote
- Opportunity for continuous improvement
- Ownership over data reliability strategy
Skills/Tech-stack
Alerting | Amazon Redshift | Aurora PostgreSQL | Batch Processing | CI/CD | Dashboards | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Validation | ETL | Git | Great Expectations | Monitoring | Referential Integrity | Rule as Code | SQL | Soda | “as-code”
Education
N/A
Roles
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