Data Quality Engineer
24 hours ago
- 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 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.
- Bachelor's degree in computer science, Data Management, or related fields.
- 3-7 years of experience in Data Quality, Data Governance, or Master Data Management.
- Proven experience in identifying, defining, and governing CDEs; establishing DQ metrics for CDEs; profiling, cleansing, and validating datasets with a focus on CDEs.
- Knowledge of Data Governance frameworks (DAMA-DMBOK) and regulatory standards (PDPL, GDPR, etc.).
- Familiarity with enterprise data platforms, metadata repositories, and lineage tools.
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