Responsibilities

• Maintain and enhance existing data systems
• Develop enhancements for the existing Data Platform
• Implement future changes to accommodate growing consumption needs and ingestion
• Work with complex datasets, including the addition of new datasets from scratch
• Collaborate with senior team members on complex projects, particularly when adding new large datasets
• Grow with the technological landscape, adapting to new tools and methodologies as they emerge

Requirements

• 2+ experience in Data Software Engineering
• Proficiency in PySpark
• Experience with Azure Databricks, Azure DevOps, and Azure Event Hubs
• Knowledge of the Azure cloud stack
• Experience in working with large and complex datasets
• Ability to work in a team and collaborate with various stakeholders
• Familiarity with Databricks Unity Catalog and Terraform

Nice to have

• Experience in Azure Analytics Engineering
• Familiarity with DevOps practices

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