Data Quality Engineer

Job Summary

We are looking for a Data Quality Engineer to ensure the accuracy, completeness, consistency, and reliability of enterprise data assets. The ideal candidate should have strong SQL skills and hands-on experience with data quality processes using Informatica IDMC/IDQ, Microsoft Fabric & Purview, or Databricks.

Must Have

• 4-5 years of experience in Data Quality, Data Governance, or Data Engineering.
• Strong SQL and data analysis skills.
• Experience with data profiling, validation, reconciliation, and root cause analysis.
• Experience implementing data quality rules, controls, and monitoring processes.
• Hands-on experience with Informatica IDMC/IDQ, Microsoft Fabric & Purview, or Databricks.
• Strong problem-solving and stakeholder management skills.

Good to Have

• Knowledge of Data Governance, Metadata Management, and Data Lineage.
• Python or PySpark experience.
• Experience with Data Quality KPIs, scorecards, and dashboards.

Key Responsibilities

• Develop and maintain data quality rules, controls, and standards.
• Perform data profiling, validation, and reconciliation activities.
• Monitor data quality metrics and resolve quality issues.
• Conduct root cause analysis and support remediation efforts.
• Collaborate with business and technical teams to improve data quality.

Preferred Certifications

• Informatica Data Quality Certification
• Certified Data Management Professional (CDMP)
• Microsoft Fabric Analytics Engineer Associate (for Fabric environments)