Sr QA Engineer

CognizantFranklin Lakes, NJ
7h$53,000 - $80,000Hybrid

About The Position

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.

Requirements

  • 4–5 years of QA experience in Azure data platforms.
  • Hands on testing experience with Azure Databricks, ADF, Spark SQL, and SQL validation queries.
  • Experience with automated and manual test execution for APIs and data workflows.
  • Familiarity with JIRA, Azure DevOps pipelines, and defect management tools.

Responsibilities

  • 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.

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service