ETL Testing Lead/Data Analysis Specialist

ETL Testing & Data Validation

• Lead end-to-end ETL testing activities across enterprise data integration programs.

• Validate source-to-target data mappings and transformation logic across complex data platforms.

• Design, develop, and execute ETL test strategies, test cases, test scripts, and validation processes.

• Verify data movement, transformation accuracy, completeness, and consistency across systems.

• Conduct regression, integration, system, and user acceptance testing for data initiatives.

• Identify, document, track, and resolve data-related defects and production issues.

Data Analysis & Quality Engineering

• Analyze large and complex datasets to identify trends, anomalies, patterns, and business insights.

The ideal candidate will possess strong expertise in ETL testing, data quality engineering, and data analysis, with hands-on experience validating large-scale data pipelines and cloud-based data platforms. This individual will collaborate closely with business stakeholders, developers, architects, and quality engineering teams to ensure high-quality, reliable, and accurate data solutions.

Healthcare industry experience is required for this role.

Cognizant (NASDAQ: CTSH) is one of the world’s leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences. We engineer modern businesses to improve everyday life. Our associates around the globe help clients build stronger, more agile, and innovative organizations.

At Cognizant, we help clients unlock the value of data through advanced analytics, cloud transformation, data modernization, and quality engineering solutions. We are committed to delivering innovative, scalable, and data-driven solutions that empower organizations to make better business decisions and improve outcomes., Cognizant is seeking an experienced ETL Testing Lead / Data Analysis Specialist to join our Quality Engineering and Assurance team. This role is responsible for leading data validation initiatives, ensuring data quality, and supporting enterprise data transformation programs within complex cloud and data warehouse environments.