Data Quality Developer
Tasks
- Build and maintain data monitors
- Build and maintain metric monitors for KPI anomalies
- Build and maintain query performance monitors
- Build and maintain validation monitors for business rules
- Document implemented checks and monitor alerts interpretation
- Implement data quality checks across data domains
- Integrate data quality monitoring into data pipeline lifecycle
- Investigate data quality incidents and perform root cause analysis
Perks/Benefits
- Flexible work arrangements
- Home office possibility
- Secure long term job opportunity
- Varied engaging job responsibilities
Skills/Tech-stack
Anomaly Detection | CI/CD | Change detection | Data Anomaly | Data Anomaly Detection | Data Architecture | Data Freshness Monitoring | Data Management | Data Pipeline Monitoring | Data Quality | Data Reconciliation | Data Validation | Data Volume Monitoring | Data freshness | Data pipeline | Freshness Monitoring | Performance Monitoring | Pipeline monitoring | Python | Query Performance Monitoring | Query performance | SQL | Schema Change | Schema change detection
Education
N/A
Roles
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