Senior Data Engineer – Data Quality & Observability
Tasks
- Build automated validation checks
- Build data quality reporting dashboards
- Create data validation processes
- Define and maintain data lineage
- Define governance and ownership standards
- Design and implement data quality framework
- Develop rule as code validation rules
- Implement data observability monitoring and alerting
- Improve data reliability through automation
- Integrate validation into CI/CD pipelines
- Lead data validation implementation
- Perform root cause analysis for data issues
Perks/Benefits
- Continuous improvement focus
- Cross-functional collaboration
- Exposure to modern data platforms
- Fully remote work
- Ownership opportunities
Skills/Tech-stack
Alerting | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Redshift | Anomaly Detection | Aurora PostgreSQL | CI/CD | Cause analysis | Dashboards | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Reconciliation | Data Validation | Database | 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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