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Data Quality Engineer Kyrgyzstan or Remote

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Data Quality Engineer Description

Job #: 74314
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.


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

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