ETL Tester - Data Quality Engineer

EPAM Systems Inc; Coimbatore; Hybrid; INR 1,400,000 - 2,400,000; Full time

Job summary

EPAM Systems Inc. is seeking a Data Quality Engineer in Coimbatore to drive 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.

You will implement automated test scripts, validate large data sets, define test strategies, and develop scalable frameworks using Python and SQL while collaborating with data engineers and analysts in an agile environment.

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

ETL testing

SQL

Python

Agile/Scrum

Test automation

Tools

Azure

AWS

GCP

Jenkins

Git

Azure DevOps

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