Join our remote team as a Senior Data Software Engineer within a global leader in building Enterprise Data Platform and Data Products on top. We are currently seeking a talented and experienced developer to work on a cutting-edge project involving the design, development, and implementation of high-performance data solutions. You will have the opportunity to collaborate with other experts in the field, and work with the latest tools and technologies to build innovative solutions that will impact businesses worldwide.

Responsibilities

• Design, develop and maintain data processing pipelines and data products to support business needs and objectives
• Collaborate with cross-functional teams to ensure high-quality deliverables
• Provide technical leadership and guidance to other developers in the team
• Participate in code review and ensure code quality and adherence to standards
• Work with stakeholders to define requirements and develop solutions that meet their needs
• Develop, test and deploy scalable and performant data solutions
• Ensure the reliability, availability, and scalability of data systems
• Stay up-to-date with the latest Big Data technologies and trends and apply them to solve business problems
• Drive continuous improvement and optimization of data processing pipelines
  
  
  

Requirements

• At least 3+ years of experience in building Data Platform
• Successful implementations of Big Data high-performance solutions
• Expertise in Python and Databricks for developing and implementing data solutions
• Experience with Microsoft Azure Big Data Services for data processing and storage
• Experience with Event-driven architecture for building scalable and high-performance applications
• Solid knowledge of Data Architecture and Data Modeling
• Familiarity with Agile methodologies for software development
• Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
  
  
  

Nice to have

• Experience with Machine Learning and AI technologies
• Experience with Spark and Hadoop
• Experience with NoSQL databases
  
  
  

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