Senior Data Engineer – Data Quality & Observability
Tasks
- Build data quality dashboards and reporting
- Build data quality framework
- Create data quality rules Rule as Code
- Define data lineage
- Develop automated validation checks
- Establish data governance and ownership standards
- Implement data observability monitoring and alerting
- Implement data quality checks completeness accuracy integrity consistency reconciliation freshness anomaly detection
- Implement data validation solutions
- Integrate data validation into CI/CD pipelines
- Maintain validation frequency remediation workflows and quality metrics
- Perform root cause analysis for data issues
Perks/Benefits
- Continuous improvement opportunities
- Cross-functional collaboration
- Fully remote work
- Ownership over data reliability strategy
Skills/Tech-stack
Alerting | Amazon Redshift | Batch Processing | CI/CD | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | ETL | Git | Great Expectations | Monitoring | PostgreSQL | Referential Integrity | Reporting | Rule as Code | SQL | Soda | “as-code”
Education
N/A
Roles
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