Senior Data Engineer – Data Quality & Observability
Tasks
- Build automated data validation checks
- Create data validation rules using Rule as Code
- Define and maintain data lineage
- Design and implement data quality framework
- Develop reporting for data quality trends and operational health
- Develop validation processes for completeness accuracy integrity consistency reconciliation freshness and anomalies
- Establish data governance and ownership practices
- Implement data observability monitoring alerting and dashboards
- Integrate data quality checks into CI/CD pipelines
- Investigate data issues and perform root cause analysis
- Operationalize Great Expectations
Perks/Benefits
Skills/Tech-stack
Alerting | Amazon Redshift | Anomaly Detection | CI/CD | Dashboards | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | ETL | Git | Great Expectations | Monitoring | PostgreSQL | Rule as Code | SQL | “as-code”
Education
N/A
Roles
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