DQ Lab Data Quality Engineer

Roles & Responsibilities

• Implement and administer DQLabs Data Quality platform and related data observability capabilities. Profile source systems and identify Critical Data Elements (CDEs). Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness. Develop metadata-driven Data Quality frameworks and scorecards. Build DQ dashboards and executive reporting for business and technology stakeholders. Analyze data quality issues and drive remediation with business and application teams. Establish Data Quality SLAs, thresholds, ownership, and governance processes. Integrate DQ monitoring with Data Governance and Metadata Management platforms. Support audit, compliance, regulatory, and reporting requirements. Create quality trend reports, root cause analyses, and continuous improvement plans. Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.
• Implement and administer DQLabs Data Quality platform and related data observability capabilities.
• Profile source systems and identify Critical Data Elements (CDEs).
• Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
• Develop metadata-driven Data Quality frameworks and scorecards.
• Build DQ dashboards and executive reporting for business and technology stakeholders.
• Analyze data quality issues and drive remediation with business and application teams.
• Establish Data Quality SLAs, thresholds, ownership, and governance processes.
• Integrate DQ monitoring with Data Governance and Metadata Management platforms.
• Support audit, compliance, regulatory, and reporting requirements.
• Create quality trend reports, root cause analyses, and continuous improvement plans.
• Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.

Data Quality & Governance