ETL Tester - Data Quality Engineer

EPAM Systems Inc; Pune District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

EPAM Systems Inc 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, integrate tests with CI/CD, and partner with stakeholders to keep pipelines accurate.

Responsibilities include implementing automated test scripts for ETL workflows, validating data quality on large datasets across Azure, AWS, and GCP, and developing reusable test frameworks while collaborating with data engineers and agile

Qualifications

• 4-8 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.

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

SQL

Python

CI/CD

Agile/Scrum

Data validation

Tools

Azure

AWS

GCP

Jenkins

Git

Azure DevOps

BigQuery

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

• 4-8 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