| Mandatory skill: Data Quality: advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ Job Description: The Data Quality Engineer is responsible for developing and implementing data quality rules based on business and operational requirements provided by the Enterprise Data Steward. This role ensures that data quality checks are effectively executed across data ingestion transformation and reporting layers. Primary Scope of Responsibilities includes: DQ Rules Development & Implementation DQ Execution & Results Publishing DQ Test Case Documentation & Validation Issue Root Cause Analysis & Remediation Support DQ Automation Framework & Monitoring RACI Matrix Key Responsibilities The following summarizes the RACI roles for key DQ deliverables: Handover DQ Requirements KT: R (DQ Engineer) A (Data Steward) C (SMEs) Develop & Implement DQ Rules: A/R (DQ Engineer) I C (Data Steward) I (SMEs) Validate DQ Logic & Test Cases: A/R (DQ Engineer) C (Data Steward) R (SMEs) Execute DQ Checks: A/R (DQ Engineer) C (Workstream Leads) Publish DQ Results: A/R (DQ Engineer) I C (Data Steward) I (SMEs) Support RCA & Defect Remediation: A/R (DQ Engineer) R (SMEs) I (Data Steward) Document DQ Rule Catalog: A/R (DQ Engineer) C (Data Steward) I (SMEs) Deliverables Checklist by Project Phase Design Review Data Quality Requirements Translate Business DQ Rules to Technical Specifications Build / Development Develop DQ Rules Validate DQ Logic & Document Test Cases Execute DQ Checks per Workstream Testing Conduct UAT testing with appropriate stakeholders Support data reconciliation and RCA for any identified issues in partnership with workstream leads. Deployment / Post Go-Live Publish Data Quality Results Monitor Post-Go-Live DQ Metrics |
Mandatory skill: Data Quality: advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ Job Description: The Data Quality Engineer is responsible for developing and implementing data quality rules based on business and operational requirements provided by the Enterprise Data Steward. This r...
| Mandatory skill: Data Quality: advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ Job Description: The Data Quality Engineer is responsible for developing and implementing data quality rules based on business and operational requirements provided by the Enterprise Data Steward. This role ensures that data quality checks are effectively executed across data ingestion transformation and reporting layers. Primary Scope of Responsibilities includes: DQ Rules Development & Implementation DQ Execution & Results Publishing DQ Test Case Documentation & Validation Issue Root Cause Analysis & Remediation Support DQ Automation Framework & Monitoring RACI Matrix Key Responsibilities The following summarizes the RACI roles for key DQ deliverables: Handover DQ Requirements KT: R (DQ Engineer) A (Data Steward) C (SMEs) Develop & Implement DQ Rules: A/R (DQ Engineer) I C (Data Steward) I (SMEs) Validate DQ Logic & Test Cases: A/R (DQ Engineer) C (Data Steward) R (SMEs) Execute DQ Checks: A/R (DQ Engineer) C (Workstream Leads) Publish DQ Results: A/R (DQ Engineer) I C (Data Steward) I (SMEs) Support RCA & Defect Remediation: A/R (DQ Engineer) R (SMEs) I (Data Steward) Document DQ Rule Catalog: A/R (DQ Engineer) C (Data Steward) I (SMEs) Deliverables Checklist by Project Phase Design Review Data Quality Requirements Translate Business DQ Rules to Technical Specifications Build / Development Develop DQ Rules Validate DQ Logic & Document Test Cases Execute DQ Checks per Workstream Testing Conduct UAT testing with appropriate stakeholders Support data reconciliation and RCA for any identified issues in partnership with workstream leads. Deployment / Post Go-Live Publish Data Quality Results Monitor Post-Go-Live DQ Metrics |
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