Responsibilities

• Lead the development of the data platform, including system architecture, data pipelines, and data products.
• Collaborate with cross-functional teams to identify and prioritize data needs and requirements.
• Develop and maintain ETL processes, data warehousing, and data integration solutions.
• Ensure the quality and reliability of the data platform, including data validation, testing, and documentation.
• Lead and mentor a team of data engineers, providing guidance and support to achieve project goals.
• Provide technical leadership and support to cross-functional teams, ensuring the successful delivery of data-driven projects.

Requirements

• A minimum of 5 years of experience in Data Software Engineering, showcasing your proficiency in developing and implementing data solutions.
• At least 1 year of experience with leading and mentoring a team of data engineers.
• Expertise in Python, PySpark, Databricks and other relevant Data tools and technologies.
• In-depth understanding of Cloud (AWS and Azure) environments and their services.
• Strong understanding of data architecture, including database design and optimization.
• Excellent communication skills for conveying technical information.
• Fluent spoken and written English at an Upper-Intermediate level or higher.

Nice to have

• Experience in developing and implementing machine learning models and algorithms.
• Familiarity with agile methodologies and project management tools, such as JIRA or Trello.

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.