Responsibilities

• Develop and manage end-to-end data testing procedures.
• Ensure data accuracy and quality through continuous verification.
• Provide quality assurance for ETL processes and migrated data.
• Debug and troubleshoot data issues in collaboration with team members.
• Continuously improve data testing processes and procedures.

Requirements

• Minimum of 3 years of experience in Data Quality Engineering.
• Ability to draft detailed test plans to ensure data quality and accuracy.
• Good command of ETL/ELT tools and Data Integration platforms.
• Proficient in Data Analysis, Data Management, and Test planning & reporting.
• Knowledge of Java or Python.
• Upper-Intermediate level of English proficiency.

Nice to have

• Excellent communication and collaboration skills.

We offer

• International projects with top brands.
• Work with global teams of highly skilled, diverse peers.
• Healthcare benefits.
• Employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling and certification courses.
• Unlimited access to the LinkedIn Learning library and 22,000+ courses.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• EPAM Employee Groups.
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.