Data Quality Engineer

Key Responsibilities :

• Develop Data Quality Strategy : Establish and maintain enterprise-wide DQ frameworks, rules, and KPIs.
• Define and Govern CDEs :
• Identify, document, and classify Critical Data Elements (CDEs) in collaboration with business and technical stakeholders.
• Ensure CDEs are aligned with business processes, regulatory requirements, and strategic goals .
• Monitor and report on CDE-specific DQ KPIs to ensure they meet required standards.
• Design & Implement DQ Rules : Create validation rules and profiling checks for both general datasets and CDEs .
• DQ Monitoring & Reporting : Develop DQ dashboards and scorecards to track quality dimensions (accuracy, completeness, timeliness, consistency, uniqueness, validity).
• Root Cause Analysis : Investigate data quality issues impacting CDEs and recommend technical or process-oriented remediation actions.
• Metadata & Lineage : Ensure CDEs are linked to metadata repositories and data lineage tools for full traceability.
• Collaboration : Work with data owners, data stewards, and governance committees to prioritize DQ initiatives around CDEs.
• Compliance Support : Ensure CDEs comply with regulatory frameworks (e.g., PDPL, GDPR, HIPAA, ISO standards).
• Tool Expertise : Administer and leverage Data Quality and Governance platforms (Informatica Axon, Collibra, Talend DQ, etc.) to manage DQ rules and CDE repositories .

Requirements

Qualifications & Experience