EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
No less important is the safety, well-being, and experience of our applicants. Therefore until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you! For further information please check our web site at www. epam. com.

• Designing and implementing production-ready data solutions using classic data technologies and tools (BI platforms, Databases, ETL/ELT technology & tools, etc.) or modern cloud data technologies/components
• Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions
• Maintain collaborative partnerships with architects and key individuals within other functional groups
• Perform detailed analysis of business problems and technical environments and use this in designing high-quality technical solutions
• Actively participate in code review and testing of solutions to ensure it meets best practice specifications
• Support a high-performance engineering culture
• Write project documentation

• Good knowledge of Data Analytics, Data Visualization concepts. Practical experience with at least one database platform and one BI platform (Internal POC / project or external engagement)
• General experience in developing solutions with Data Analytics & Visualization technologies both: using classic BI tools and modern Cloud Data components
• Good knowledge of Databases (SQL optimization, Relations, Stored Procedures, Transactions, Isolation Levels, etc.)
• Expected experience working with at least one Relational Database (RDBMS: MS SQL Server, Oracle, MySQL, PostgreSQL)
• Understanding of storage layer, data formats, batch integration
• Understanding of Data Platform concepts (Data Lake, Data Warehouse, Delta Lake/Lakehouse). General understanding of Landing, Staging area. Data Cleansing
• Basic understanding of Data Governance aspects (Data Ownership, Data Privacy, Data Lineage, etc.)
• Good understanding of Data Security (object/system level grants, etc.)
• Proved skills in data solutions troubleshooting, monitoring, support, and bottleneck problem analysis
• Testing: Component / Integration Testing
• Understanding of CI/CD principles and best practices. Following release processes on a project
• Motivated, independent, efficient, and able to work under pressure with setting priorities
• Ability to work in a fast-paced (startup-like) agile development environment
• Analytical approach to problem-solving; excellent interpersonal, and communication skills
• Experience in direct customer communications is a plus
• English proficiency

• Dynamic, entrepreneurial corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Unlimited access to LinkedIn learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area