Data QA Tester – Azure Data Platform

Data QA Tester — Azure Data Platform About the role

As a Data QA Tester , you will make an impact by ensuring the accuracy, quality, and reliability of enterprise data platforms and business‑critical data assets. You will be a valued member of the Data & Analytics team and work collaboratively with data engineers, business analysts, architects, and stakeholders to validate data pipelines, integrations, and reporting solutions across cloud-based environments.

• Execute data validation and testing activities across enterprise data platforms, data warehouses, and cloud-based analytics solutions.
• Validate data ingestion, transformation, and integration processes to ensure data accuracy, completeness, and consistency.
• Develop and execute manual and automated test cases using SQL, Python, and PySpark.
• Perform data reconciliation, data quality checks, and reporting validation for business and operational data.
• Collaborate with business and technical teams to troubleshoot issues, validate requirements, and support successful project delivery.

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 time in a Cognizant or client office as determined by project and business needs. Regardless of your working arrangement, we are here to support a healthy work‑life balance through 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.

• 5 years of experience in data testing, quality assurance, data validation, or quality engineering.
• Strong expertise in Azure Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog.
• Hands‑on experience with Azure Data Factory, including pipeline validation, monitoring, and testing activities.
• Proficiency in Python, PySpark, and SQL for data validation, test automation, and reconciliation.
• Experience testing enterprise data pipelines, ETL/ELT processes, data warehouses, and cloud‑based data platforms.
• Familiarity with Power BI reporting validation and analytics testing.
• Knowledge of data governance, data quality frameworks, metadata management, and PII compliance requirements.
• Experience with Azure Dev Ops, CI/CD practices, and testing within cloud‑based delivery environments.
• Strong analytical, troubleshooting, communication, and problem‑solving skills.

• Experience testing ERP, CRM, and HRIS applications such as Workday and People Soft.
• Experience with Collibra or similar data governance and cataloging platforms.
• Familiarity with cloud data modernization and enterprise data migration initiatives.
• Knowledge of data lineage, metadata management, and data quality monitoring processes.
• Experience supporting reporting, analytics, and business intelligence validation efforts.
• Exposure to Agile delivery methodologies, including Scrum and Kanban.

Applications will be accepted until August 21,2026

The annual salary for this position is between $80,000- $115,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

• 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.