Data Quality Engineer

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Position: Data Quality Engineer

Location: Bolingbrook IL (Hybrid, 3 Days Bi-Weekly)

Data Quality Engineer - Microsoft PowerBI



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