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We are looking for a remote Senior Data Quality Engineer to join our team.
The ideal candidate should have a strong background in data quality engineering and experience in running big data test cases using pySpark APIs.
Responsibilities
- Verification of coding assumptions using pySpark APIs
- Test cases for big data
- Develop and maintain data quality checks, controls and metrics
- Design and implement data quality monitoring systems and procedures
- Collaborate with cross-functional teams to design, develop and deploy high-quality data solutions
Requirements
- Minimum 3 years of experience in Data Quality Engineering
- Proficiency in Python, Databricks, and Spark
- Ability to run and test ML pipelines using pySpark or willingness to learn
- Excellent communication skills
- Upper-intermediate English level
Nice to have
- Understanding of Azure Databases
- Experience with unit testing based on Python and Databricks
- Familiarity with Python notebooks
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
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Information Technology, Engineering, and ResearchIndustries
Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing
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