EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

　　DESCRIPTION

　　You are curious, persistent, logical, and with a growth mindset - a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. You love building data systems and applications to support decision-making. If this sounds like you, this could be the perfect opportunity to join EPAM as a Data Quality Engineer or any level above.

　　What You'll Do Effectively use SQL and Python for data analysis Participate in the requirements gathering process and review the detailed documentation to facilitate the transition from mapping to loading the data into data repositories Play the key role in the data governance processes, including data preparation, generation, data obfuscation, data integration, data slicing and data quality control Participate in designing and maintaining data platforms and design and build data quality automation framework including potential troubleshooting issues Design and implement a data quality strategy, define and setup data quality metrics Perform testing of data ingestion pipelines, ETLs, APIs, integration, and performance checks Maintain QA environments, contribute to the CI/CD process establishment Support customer inquiries on data quality issues and data consumption Adhere to and promote quality standards What You Have Practical experience in data management & data governance, data modelling, optimization, troubleshooting Experienced in AWS native SaaS services for big data (Glue, Step Function, Athena, Redshift) or Hadoop ecosystem (spark, hive) Concrete experience in Data project Test Strategy creation, Test Planning, Test Case design Good understanding of SQL and skilled in writing SQL tests (AWS Athena) Java programming skill for test automation, and experience in building up a test automation framework Experience in Dashboard testing would be advantageous Good understanding of data ingestion pipelines, Data Lakes, ETL testing, CI/CD principles and best practices in the data processing Analytical approach to problem-solving; excellent interpersonal and communication skills Ability to work in a fast-paced agile development environment Solid communication skills, strong English (B2+) We offer Innovative solutions delivery to the world's digital changes Experience exchange with colleagues all around the world Opportunities for self-realization Unlimited access to LinkedIn learning solutions Friendly team and enjoyable working environment Corporate and social events Social package: professional & soft skills trainings, medical & family care programs, sports Free English classes Competitive compensation Regular assessments and salary reviews