305 King St W
Suite 1100
Kitchener, ON N2G 1B9
Canada
Data Quality Engineer Kyrgyzstan or Remote
Data Quality Engineer Description
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