Data Quality Engineer

Description

Summary: Seeking a detail-oriented and analytical Data Quality Engineer with strong expertise in data validation, SQL, and modern testing practices to design, execute, and maintain test cases for data pipelines and ETL processes. Highlights: 1. Design, execute, and maintain test cases for data pipelines and ETL processes 2. Perform advanced SQL-based validation and analysis across complex datasets 3. Collaborate with engineering, product, and data teams to improve product quality We are looking for a detail\-oriented and analytical **Data Quality Engineer** with strong expertise in data validation, SQL and modern testing practices. The ideal candidate has hands\-on experience in data quality and ETL testing, understands complex data structures and semantic layers, and is comfortable working with APIs and basic automation frameworks. Exposure to AI/LLM testing and modern data platforms such as BigQuery or Snowflake is highly valued. **Responsibilities** * Design, execute and maintain test cases for data pipelines, ETL processes and data quality validation * Perform advanced SQL\-based validation and analysis across large and complex datasets * Validate APIs and data integrations using tools such as Postman or similar platforms * Support testing activities for AI/LLM\-powered solutions and data\-driven applications * Develop and maintain basic test automation scripts using Python or Java * Validate data models, metadata consistency, semantic layer mappings and configuration files * Perform YAML and configuration validation to ensure system reliability and correctness * Collaborate closely with engineering, product and data teams to identify defects, analyze root causes and improve overall product quality * Contribute to continuous improvement of QA processes, automation practices and testing standards * Participate in release validation, regression testing and production issue investigation when needed **Requirements** * 3\+ years of experience in data quality and ETL testing * Expertise in advanced SQL and data validation techniques * Proficiency in API testing using Postman or similar tools * Skills in basic test automation using Python or Java * Capability to perform strong analytical and troubleshooting tasks * Competency in communication and collaboration * English proficiency at B2 level or higher **Nice to have** * Understanding of data modeling concepts and metadata management * Familiarity with semantic layers and modern data architectures * Knowledge of AI/LLM testing and validation approaches, and YAML or configuration\-driven systems * Expertise in BigQuery, Snowflake or similar cloud data platforms * Familiarity with Agile development environments **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 *EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.*