Back to SearchSenior Data Quality Engineer
Data Quality Engineering
& 5 others
Argentina
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
Benefits
- 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