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Coimbatore · On-site · 4-7 Yrs · Oct 12
Information Technology Support Services · 10000+ Employees · Newtown, US
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-Native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners, and employees. We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. In India, EPAM has grown rapidly to 12,000+ EPAMers across six locations in major cities: Hyderabad, Pune, Bangalore, Gurgaon, Chennai and Coimbatore. Learn more at: https://welcome.epam.in/
Hiring: Engineering
What employees say
+ Epam is very Good company
− No such cons to mention
More reviews on the company profile.
Interview experience · Jr. Software Engineer
It was good Had 4 rounds: In-campus written test Gd Technical round HR round It all went very smooth and the judges made it more easy to communicate and answer to questions
Average difficulty · Rūpnagar, Punjab · 1,169 reports
More interview insightsJob description
Overview
We are looking for a Data Quality Engineer focused on ETL/ELT testing and DWH/DB quality across cloud platforms. You will craft Python- and SQL-driven automation, integrate tests with CI/CD, and partner with stakeholders to keep pipelines accurate.
Responsibilities
- Implement automated test scripts to validate ETL workflows and end-to-end data pipelines
- Conduct full data validation and reconciliation, including DWH/DB testing on large datasets
- Partner with data engineers, analysts, and stakeholders to define test strategy and meet data quality standards
- Develop reusable, scalable test automation frameworks using Python and SQL
- Connect automated tests into CI/CD pipelines to support continuous testing and delivery
- Assess data transformation logic and completeness across Azure, AWS, and GCP
- Support Agile ceremonies by contributing to planning, retrospectives, and story grooming
Qualifications
- 4-6 years of professional experience in ETL automation and testing for Data Warehouse/Data Lake environments
- Strong SQL skills for data validation, reconciliation, and automating quality checks
- Hands-on Python ability for scripting and developing automation frameworks
- Experience with one or more Test Automation Frameworks in a delivery setting
- Exposure to Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery) cloud data services
- Working knowledge of CI/CD tooling and practices, including Jenkins, Git, and Azure DevOps
- Familiarity with Agile/Scrum processes and team rituals
Nice to have
- Experience using data quality or observability tooling such as Great Expectations or Deequ
- Basic grasp of data governance and metadata management principles
- Cloud platform certifications in Azure, AWS, or GCP are a plus
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Quality Engineer at Epam?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Epam may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Quality Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Quality Engineer remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Quality Engineer role at Epam?
- This is a mid-level Data Quality Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.