Hybrid Azure Data Platform QA Specialist

Cognizant; Montgomery (AL); Hybrid; USD 80,000 - 115,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays + PTO

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Data QA Tester to validate data pipelines, transformations, and reporting across Azure Data Platform in a hybrid model. You will develop manual and automated test cases using SQL, Python, and PySpark, ensuring data accuracy and quality for enterprise data assets.

The role emphasizes collaboration with data engineers, analysts, architects, and stakeholders, plus experience with Azure Databricks, Delta Lake, and Azure Data Factory to support project delivery and governance

Qualifications

• 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 DevOps, CI/CD practices, and testing within cloud-based delivery environments.
• Strong analytical, troubleshooting, communication, and problem-solving skills.

Responsibilities

• 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.

Skills

Data testing

Azure Databricks

Delta Lake

Delta Live Tables

Unity Catalog

Azure Data Factory

Python

PySpark

SQL

Data validation

Tools

SQL

Python

PySpark

Job description

Cognizant is seeking a Data QA Tester to validate data pipelines, transformations, and reporting across Azure Data Platform in a hybrid model. You will develop manual and automated test cases using SQL, Python, and PySpark, ensuring data accuracy and quality for enterprise data assets.

The role emphasizes collaboration with data engineers, analysts, architects, and stakeholders, plus experience with Azure Databricks, Delta Lake, and Azure Data Factory to support project delivery and governance