QA Automation Engineer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 7, 2026. Persistent Systems scores B on the Alion truth index.
About Persistent
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.
Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026.
About Position:
We are seeking a QA Automation Engineer - Data Engineering to validate data pipelines, ETL/ELT processes, and analytics solutions across modern enterprise data platforms. The ideal candidate will be responsible for developing automated testing frameworks, performing data validation activities, and ensuring the accuracy, quality, consistency, and reliability of data assets. This role requires hands-on experience in Data Testing, SQL, Python automation, ETL validation, and data quality assurance. You will work closely with Data Engineers, Business Analysts, Product Owners, and QA teams to deliver high-quality and reliable data solutions that support enterprise analytics and business intelligence initiatives.
- Role: QA Automation Engineer - Data Engineering
- Location: Bengaluru, Pune
- Experience: 2 to 5 Years
- Job Type: Full Time Employment
What You'll Do:
- Validate ETL/ELT data pipelines and data transformation workflows.
- Perform source-to-target data validation and reconciliation testing.
- Verify data quality, data accuracy, completeness, consistency, and integrity across multiple systems.
- Create, execute, and maintain test cases, test scenarios, and validation scripts.
- Develop and maintain automated testing frameworks for data engineering applications.
- Create SQL-based and Python-based automated test scripts.
- Automate regression, integration, functional, and data quality testing processes.
- Integrate automated testing frameworks with CI/CD pipelines.
- Validate data warehouse, data lake, and analytics platform implementations.
- Perform database testing using complex SQL queries and validation techniques.
- Test batch and real-time data processing solutions.
- Validate business rules, transformation logic, and source-to-target mappings.
- Identify, document, track, and verify defects through their lifecycle.
- Collaborate with Data Engineers and Business Analysts to investigate and resolve issues.
- Prepare test execution reports, quality dashboards, and testing metrics.
- Participate in requirement reviews, sprint planning sessions, and Agile ceremonies.
- Ensure adherence to data quality standards and testing best practices.
- Support test automation and continuous quality improvement initiatives.
Expertise You'll Bring:
- 2-5 years of experience in Data Testing, ETL Testing, Data Quality Engineering, or QA Automation.
- Strong SQL expertise for data validation, reconciliation, profiling, and database testing.
- Hands-on experience in ETL/ELT testing, transformation validation, and data pipeline testing.
- Strong understanding of Data Warehousing, Data Lake concepts, and analytics platforms.
- Experience with source-to-target validation, reconciliation testing, and data quality assurance.
- Proficiency in Python for test automation and validation framework development.
- Experience developing automated testing frameworks for data engineering applications.
- Hands-on experience with automation tools such as Selenium, PyTest, TestNG, or equivalent frameworks.
- Strong understanding of database testing methodologies and validation techniques.
- Experience creating test cases, test scenarios, automated scripts, and test data.
- Knowledge of defect lifecycle management and bug tracking processes.
- Experience using Jira, Azure DevOps, or similar project and defect management tools.
- Familiarity with Git and source code management practices.
- Experience validating large-volume, structured, and semi-structured datasets.
- Hands-on experience with Databricks testing and data validation activities.
- Exposure to PySpark validation and Big Data testing environments.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Experience with API testing and data integration testing.
- Understanding of CI/CD pipelines and automated testing integration practices.
- Knowledge of data quality frameworks and data governance concepts.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent attention to detail and commitment to quality assurance.
- Strong communication and collaboration skills.
- Experience supporting Agile delivery teams and participating in sprint ceremonies.
- Ability to work independently while contributing to quality improvement initiatives.
- Commitment to delivering reliable, accurate, and high-quality enterprise data solutions.
Benefits:
- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let’s unleash your full potential at Persistent -persistent.com/careers
“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”