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# ETL Informatica IDMC QA

- **Company:** VeeRteq Solutions Inc
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Database, Continuous Integration, Data Validation, Data Governance, Extract Transform Load (ETL), Database Queries, Event-Driven Programming, Role-Based Access Control, Release Management, Data Streaming, Data Processing, Performance Testing, Data Ingestion, Snowflake, Information Technology, Apache Kafka, Data Pipelines, Databricks
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5003568b99c73ecf

## About the Role

Minimum 8-12+ years of QA experience with recent hands on Informatica IDMC and Informatica MDM SaaS Cloud.

Strong experience testing Informatica Multi Domain MDM implementations.

Hands on experience with Cloud Data Integration, Cloud Data Quality, and Cloud Application Integration.

Strong SQL skills for data validation and reconciliation.

Experience validating Product and Vendor domains, data modeling, match and merge logic, survivorship rules, and publication frameworks.

Knowledge of Kafka or similar event streaming platforms.

Experience with role based access control, governance models, audit validation, performance testing, and cloud based QA.

Experience with CI CD pipelines and release management.

Exposure to Azure, AWS, Databricks, Snowflake, or Synapse is preferred.

Healthcare, Supply Chain, or Vendor Management domain experience is an advantage., Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or a related field. Relevant technical certifications are an added advantage.

## Description

Design and execute test cases for Informatica IDMC Cloud Data Integration, Cloud Data Quality, and Cloud Application Integration.

Perform end to end data validation across data ingestion, transformation, mastering, and publication layers.

Validate data quality rules, match and merge logic, survivorship rules, and data consistency.

Test publication frameworks, APIs, Kafka integrations, and event driven data pipelines.

Validate role based access control, security models, data governance, and stewardship workflows.

Develop and execute performance, scalability, and high volume data processing test strategies.

Integrate QA processes into CI CD pipelines and support multi environment deployments.

Identify and resolve data quality issues, integration failures, and performance bottlenecks.

Collaborate with solution architects, MDM developers, and business stakeholders to ensure high quality delivery.


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