We are seeking a Data QA Tester with strong experience validating data pipelines and cloud native data platforms on Azure. The role focuses on testing workflows involving Azure Databricks, Azure Data Factory, Spark SQL, and Azure SQL environments to ensure data accuracy, quality, and reliability. In this role, you will: · Perform functional, integration, regression, and UAT testing across Azure based data workflows. · Validate ETL/ELT pipelines and transformations built using Azure Databricks, ADF, and Spark SQL. · Conduct SQL based data validation for ingestion, transformation, and reporting layers. · Execute API and backend testing for Azure Functions, APIM, and Data Factory activities. · Log defects, maintain traceability, and support CI/CD integrated testing in Azure DevOps. We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Franklin Lakes, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed