Senior Data Management Professional - Data Quality - Commodities Data
Tasks
- Build automated data quality checks
- Develop automation solutions for data validation and exception handling
- Implement data quality controls across datasets
- Implement imputation controls and rules
- Improve DataOps processes by reducing manual intervention
- Improve observability alerting and operational support for data pipelines
- Manage data quality issue logging triage remediation closure
- Monitor data quality metrics and investigate exceptions
- Perform root cause analysis for data issues
- Standardize workflows and strengthen controls
- Support documentation testing change management escalation procedures
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Cause analysis | Completeness Accuracy Timeliness Consistency | Data Governance | Data Monitoring | Data Quality | Data Validation | Data pipeline | DataOps | Exception Handling | Imputation | Observability | Python | Root Cause Analysis | Root cause | SQL | Schema Validation | Workflow automation
Education
N/A
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