Senior Data Quality Engineer

EPAM Systems; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

EPAM Systems is seeking a highly skilled Data Quality Engineer (Automation) in India to join the data engineering team. The ideal candidate will have a strong background in ETL automation, data warehouse testing, and cloud data services. Responsibilities include designing automated test scripts, performing end-to-end validation, and collaborating with teams to ensure data quality standards are met.

The role requires experience in CI/CD practices, proficiency in SQL, and good knowledge of Python. A familiarity with Agile methodologies is also important.

Qualifications

• 5+ years of experience in ETL automation and Data Warehouse/Data Lake testing.
• Proficient in SQL for data validation and test automation.
• Good knowledge of Python for scripting and framework development.
• Experience with Test Automation Frameworks.
• Exposure to Cloud Data Services (Azure, AWS, GCP).
• Understanding of CI/CD tools and practices.
• Familiarity with Agile/Scrum methodologies.

Responsibilities

• Design, develop, and execute automated test scripts for validating ETL workflows.
• Perform end-to-end data validation and DB testing across large datasets.
• Collaborate with teams to define test strategies.
• Develop reusable and scalable test automation frameworks using Python and SQL.
• Integrate automated tests into CI/CD pipelines.
• Validate data transformation logic across different cloud platforms.
• Participate in Agile ceremonies.

Skills

ETL automation

Data Warehouse testing

Cloud data services

Automated test scripts

Test automation frameworks

CI/CD practices

Python

SQL

Job description

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.

Responsibilities

• Design, develop, and execute automated test scripts for validating ETL workflows and data pipelines.
• Perform end‑to‑end data validation, reconciliation, and DWH/DB testing across large datasets.
• Collaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality standards are met.
• Develop reusable and scalable test automation frameworks using Python and SQL.
• Integrate automated tests into CI/CD pipelines to ensure continuous testing and delivery.
• Validate data transformation logic and completeness across different cloud platforms (Azure, AWS, GCP).
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story grooming.

Requirements

• 5+ years of experience in ETL automation and Data Warehouse/Data Lake testing.
• Proficient in SQL for data validation and test automation.
• Good knowledge of Python for scripting and framework development.
• Experience with one or more Test Automation Frameworks.
• Exposure to Cloud Data Services across major platforms: Azure (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 methodologies.
• Nice to have: experience working with data observability or data quality tools (e.g., Great Expectations, Deequ).
• Basic understanding of data governance and metadata management concepts.
• Certification in cloud platforms (Azure/AWS/GCP) is a plus.