Data Quality Engineer

EPAM Systems; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

EPAM Systems is seeking a Data Quality Engineer (Automation) to join our data engineering team in India. You will design, develop, and execute automated tests for ETL workflows and data pipelines across cloud platforms (Azure, AWS, GCP).

The role requires 4–6 years of hands-on experience in data validation, DWH testing, and test automation with Python and SQL, plus CI/CD exposure. Join a collaborative, Agile environment focusing on data quality and observability.

Qualifications

• 4-6 years of hands-on ETL automation and data warehouse testing experience.
• Strong SQL skills for data validation and automation.
• Proficient in Python for scripting and framework development.
• Experience with one or more test automation frameworks.
• Exposure to cloud data services across Azure, AWS, and GCP.
• Familiarity with CI/CD tools and Agile/Scrum processes.
• Certification in cloud platforms is a plus.

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 across 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 and delivery.
• Validate data transformation logic across Azure, AWS, and GCP platforms.

Skills

ETL automation

Data warehouse testing

SQL

Python

CI/CD practices

Agile/Scrum

Data observability tools

Tools

Jenkins

Git

Azure DevOps

Great Expectations

Deequ

BigQuery

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

• Experience: 4-6 Years
• Strong hands-on 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