Data Quality Engineer

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 whats 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 disruptors 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 $1654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24sequential quarters of growth with $436.0M in Q2 FY27 revenue up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27500global team members located in 18 countries have been instrumental in helping the market leaders transform their industries. We have been recognized as theFastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in theEverest Group Private Equity (PE) Services PEAK MatrixAssessment 2026andSoftware Product Engineering PEAK MatrixAssessment 2026.

About Position:

We are seeking a skilled Data Quality Engineer to join our growing data and analytics team. The ideal candidate will have strong expertise in Data Quality Engineering ETL Testing BI/Report Testing API Testing and Data Validation processes. This role is critical in ensuring the accuracy completeness consistency and reliability of enterprise data pipelines reporting systems and cloud-based data platforms. You will work closely with Data Engineering Analytics and Business teams to maintain high standards of data quality and governance across the organization.

• Role: Data Quality Engineer
• Location: Pune
• Experience: 6 to 10 Years
• Job Type: Full-Time Employment

What Youll Do:

• Design develop and implement data quality checks and validation frameworks for ETL/ELT pipelines.
• Validate source-to-target data movement and ensure data accuracy across multiple systems.
• Perform ETL testing to verify transformation logic business rules and data integrity.
• Conduct BI and report testing to ensure accurate reporting dashboards and analytics outputs.
• Test REST APIs and web services to validate data exchanges and integration workflows.
• Validate cloud-based data pipelines with a focus on AWS environments and modern data platforms.
• Perform data profiling reconciliation completeness checks and consistency validation.
• Develop and maintain automated data validation scripts using Python.
• Create and execute comprehensive test cases test plans and test scenarios.
• Identify analyze document and track data quality issues and defects.
• Collaborate with Data Engineers Business Analysts Developers and QA teams to resolve defects and improve data quality.
• Generate testing reports dashboards and quality metrics for stakeholders.
• Support release validation regression testing and production readiness reviews.
• Participate in Agile ceremonies sprint planning reviews and retrospective activities.
• Contribute to continuous improvement initiatives for data governance and testing standards.

Expertise Youll Bring:

• 610 years of experience in Data Quality Engineering ETL Testing Data Validation or QA Engineering.
• Strong experience in Data Quality Management and Data Validation processes.
• Expertise in ETL Testing Data Warehouse Testing and Data Integration validation.
• Hands-on experience with BI/Report Testing and analytics validation.
• Experience testing APIs Web Services and enterprise integrations.
• Advanced SQL skills for data analysis querying reconciliation and validation.
• Strong Python programming skills for test automation and data quality checks.
• Experience with Informatica Data Validation or similar data quality platforms.
• Experience validating cloud-based data pipelines and workflows preferably on AWS.
• Expertise in data profiling reconciliation and source-to-target data validation.
• Strong understanding of data quality frameworks and automated testing methodologies.
• Experience with Jira X-Ray HP ALM or similar test management tools.
• Strong understanding of SDLC STLC and Agile delivery methodologies.
• Experience creating test strategies test plans test cases and defect reports.
• Strong analytical troubleshooting and problem-solving skills.
• Excellent communication and stakeholder management capabilities.

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

Lets unleash your full potential at Persistent- is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.