Senior Data Engineer – Data Quality & Observability

Tasks

• Build automated validation checks
• Create validation processes for completeness accuracy integrity consistency reconciliation freshness anomaly detection
• Define and maintain data lineage
• Design and implement scalable data quality framework
• Develop data quality reporting dashboards
• Develop data quality rules with Rule as Code
• Establish data governance and ownership practices
• Implement data observability monitoring alerting reporting
• Implement data validation solutions
• Integrate data quality checks into CI/CD pipelines
• Investigate data issues and perform root cause analysis

Perks/Benefits

• Collaboration with cross-functional teams
• Fully remote work
• Ownership over data reliability strategy
• Remote opportunity

Skills/Tech-stack

Alerting | Amazon Redshift | Batch Processing | CI/CD | Cause analysis | Data Lineage | Data Modeling | Data Observability | Data Quality | ETL | Git | Great Expectations | Monitoring | PostgreSQL | Referential Integrity | Root Cause Analysis | Root cause | SQL | Soda