Responsibilities

• Designing, implementing, and maintaining high-performance Big Data solutions
• Collaborating with cross-functional teams to develop and optimize data platforms
• Ensuring that data pipelines are scalable, reliable, and efficient
• Providing technical leadership and guidance to team members
• Working with stakeholders to understand their data needs and develop solutions
• Identifying and resolving technical issues and bugs
• Creating and maintaining technical documentation
• Participating in code reviews and implementing best practices for software development
• Staying up-to-date with the latest Big Data technologies and trends

Requirements

• At least 3+ years of experience in Data Software Engineering
• Expertise in building Data Platforms at big companies
• Experience with successful implementations of high-performance Big Data solutions
• Strong Data background with primary skills in Big Data technologies
• Knowledge of Event-driven architecture, with experience in its implementation preferred
• Expertise in Azure Big Data Services, including Azure Data Factory, Databricks, Azure Data Lake, and Data API
• Experience with Python PySpark and Kafka for large-scale data processing
• Experience in SQL and database management
• Ability to develop highly scalable and efficient systems
• Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

We Offer

• International projects with top brands
• Work with global teams of skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling, and certification courses
• Unlimited access to LinkedIn Learning library with 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn