Senior Data Quality Engineer

EPAM Systems, Inc.; Gurugram District; On-site; INR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

CSR forums and events

Job summary

EPAM Systems, Inc. is seeking a highly skilled Data Quality Engineer (Automation) to join our data engineering team in Gurugram. You will design and execute automated tests to validate ETL workflows and data pipelines, ensuring data quality across large datasets in multi-cloud environments.

Ideal candidates have strong Python and SQL skills, experience with CI/CD, and familiarity with Agile practices. This role offers opportunities to work on complex data projects with global teams and advanced

Qualifications

• 5.5+ years of experience in ETL automation and data warehouse testing.
• Proficient in SQL for data validation and test automation.
• Strong Python scripting and framework development skills.
• Experience with one or more test automation frameworks.
• Exposure to cloud data services on Azure, AWS or GCP.
• Familiarity with CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps).
• Knowledge of Agile/Scrum methodologies.

Responsibilities

• Design, develop, and execute automated test scripts for ETL workflows and data pipelines.
• Perform end-to-end data validation, reconciliation, and DWH/DB testing on large datasets.
• Collaborate with data engineers, analysts, and stakeholders to define test strategies and data quality standards.
• Develop reusable and scalable test automation frameworks using Python and SQL.
• Integrate automated tests into CI/CD pipelines to enable continuous testing.
• Validate data transformation logic and data completeness across cloud platforms.

Skills

ETL automation

Data warehouse testing

SQL

Python

CI/CD

Agile/Scrum

Data quality

Tools

Azure

AWS

GCP

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.We are seeking a highly skilled and detail-oriented Data Quality Engineer (Automation) to join our data engineering team.The ideal candidate will have a strong background in ETL automation, data warehouse testing, and cloud data services, along with hands-on experience in test automation frameworks and CI/CD practices.ResponsibilitiesDesign, develop, and execute automated test scripts for validating ETL workflows and data pipelinesPerform end-to-end data validation, reconciliation, and DWH/DB testing across large datasetsCollaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality standards are metDevelop reusable and scalable test automation frameworks using Python and SQLIntegrate automated tests into CI/CD pipelines to ensure continuous testing and deliveryValidate data transformation logic and completeness across different cloud platforms (Azure, AWS, GCP)Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story groomingRequirementsExperience: 5.5 + YearsStrong hands-on experience in ETL automation and Data Warehouse/Data Lake testingProficient in SQL for data validation and test automationGood knowledge of Python for scripting and framework developmentExperience with one or more Test Automation FrameworksExposure to Cloud Data Services across major platformsAzure (ADF, ADB)AWS (Glue, Lambda, Redshift)GCP (BigQuery)Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps)Familiarity with Agile/Scrum methodologiesNice to haveExperience working with data observability or data quality tools (e.g., Great Expectations, Deequ)Basic understanding of data governance and metadata management conceptsCertification in cloud platforms (Azure/AWS/GCP) is a plusWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)