Informatica IDMC Data Quality Engineer

Key Responsibilities

• Review and assess approved Critical Data Element (CDE) registers, Data Quality (DQ) rule catalogs, business definitions, thresholds, known data quality pain points, and source-to-target field mappings for each rollout wave.
• Profile SAP-originated and other prioritized datasets ingested into Azure Data Lake Storage (ADLS) to identify and assess data quality issues across completeness, validity, uniqueness, consistency, accuracy, and integrity dimensions.
• Design, develop, and configure reusable Informatica Cloud Data Quality (CDQ) assets, including rule specifications, mappings, dictionaries, reference data, scorecards, validation controls, and data quality monitoring jobs.
• Implement and maintain technical data quality rules aligned with defined CDEs and business requirements, including configuration of thresholds, pass/fail criteria, alerts, exception handling, issue capture, and data quality rerun processes.
• Monitor data quality results and scorecards, analyze exceptions and recurring issues, and support remediation activities to improve overall data quality.
• Collaborate with business, data governance, SAP, engineering, and technical teams to validate data quality requirements and ensure successful implementation across rollout waves.