Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.

Persistent Systems • pune, Maharashtra, India
Role & seniority: Data Quality Engineer, Mid-Senior level; Full-time
Location & work type: Pune, India; Hybrid work model
Stack/tools: SQL (advanced), Python for automation, ETL/BI testing, API data validation; AWS-based data pipelines; Agile/SDLC/STLC; test management tools (JIRA, X‑Ray, HP ALM)
Validate end-to-end data pipelines (ETL, BI/report testing, API data validation)
Conduct data profiling, reconciliation, and completeness checks to surface issues early
Design and implement automated data quality/validation frameworks; validate AWS pipelines; collaborate with engineering/business teams in Agile
5+ years in Data Quality Engineering (ETL, BI, API testing)
Advanced SQL and hands-on Python for automation and data validation
Experience with cloud data platforms (AWS preferred)
Solid understanding of Agile, SDLC/STLC, and test management tools (JIRA, X‑Ray, HP ALM)
Additional cloud-data-platform experience beyond AWS; familiarity with broader CI/CD or testing frameworks
Experience working in cross-functional, distributed teams; data governance exposure
Role: Data Quality Engineer
Location: Pune
Experience: 6 to 8 years
Job Type: Full Time Employment
Validate end-to-end data pipelines, including ETL processes, BI/report testing, and API data validation. Perform data profiling, reconciliation, and completeness checks to identify and resolve data issues early. Design and implement automated data quality and validation frameworks using SQL and Python. Validate AWS-based data pipelines to ensure accuracy, consistency, and scalability. Collaborate with engineering and business teams in an Agile environment to embed quality throughout the SDLC/STLC.
5+ years of Data Quality Engineering experience across ETL, BI, and API testing. Advanced SQL and hands-on Python for automation and data validation. Strong experience with cloud data platforms (AWS preferred). Solid understanding of Agile, SDLC/STLC, and test management tools (JIRA, X‑Ray, HP ALM).
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
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."
Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting