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