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Zorba Consulting India

Posted 18 Aug 2026

Informatica Data Quality (IDQ) Specialist

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Employment
Full time
Team
Information Technology (IT)
Posted
18 Aug 2026

About the role

Role Overview

We are seeking an experienced Informatica Data Quality (IDQ) Specialist with 5+ years of hands-on experience to drive enterprise data quality initiatives within an MDM ecosystem. The role focuses on designing, implementing, and governing data quality solutions to ensure consistency, accuracy, and reliability of master data across systems.

Scope

  • Lead end-to-end data quality implementation using Informatica IDQ
  • Ensure data consistency and governance across source systems, MDM, and downstream platforms
  • Act as a subject matter expert (SME) for IDQ
  • Collaborate with business, analytics, and data teams to embed data quality controls

Key Responsibilities

  • Design and implement data quality rules, validation, and cleansing mechanisms
  • Build and manage data quality scorecards and consistency checks
  • Develop ETL pipelines in IDQ for system integration
  • Implement data synchronization and quality controls
  • Monitor and optimize IDQ processes for performance and scalability
  • Troubleshoot data quality issues and workflow failures
  • Perform testing and validation after system upgrades and changes
  • Support deployment and environment management (DEV/TEST/PROD)
  • Provide guidance, documentation, and training on IDQ best practices

Technical Skills Required

  • 5+ years hands-on experience in Informatica Data Quality (IDQ) (mandatory)
  • Strong expertise in data quality rule design, profiling, cleansing, and validation
  • Experience in ETL development using IDQ
  • Experience with Informatica MDM environments and integrations
  • Handson experience on IDMC will be preferred
  • Understanding of data governance, quality frameworks, and scorecards
  • Experience in multi-system data integration
  • Familiarity with deployment workflows and environment management
  • Exposure to Power BI or similar tools (preferred)
  • Strong problem-solving and analytical skills

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