Data Quality Engineer

EPAM Systems; Maharashtra; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

EPAM Systems is seeking a Data Quality Engineer focused on ETL/ELT testing and DWH/DB quality across cloud platforms. You will craft Python- and SQL-driven automation, validate data pipelines, and partner with stakeholders to ensure data accuracy.

Responsibilities include implementing automated test scripts for ETL workflows, performing full data validation on large datasets across Azure, AWS and GCP, and integrating tests into CI/CD pipelines to enable continuous delivery.

Qualifications

• 4-6 years of professional ETL automation and testing for DWH/ Data Lake environments.
• Strong SQL skills for data validation, reconciliation, and quality checks.
• Hands-on Python for scripting and building automation frameworks.

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.

Skills

ETL testing

SQL

Python

CI/CD

Azure

AWS

GCP

Data validation

Test automation frameworks

Jenkins

Git

Azure DevOps

Agile/Scrum

Tools

Great Expectations

Deequ

BigQuery

Azure Data Factory

AWS Glue

Redshift

Job description

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

Requirements

• 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