EPAM Systems
Data Quality Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Industrial engineering
- Posted
Skills
Must have
- 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
Full 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
Benefits
Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits