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.
We are looking for a talented Data Analytics Engineers to extend our team of professionals who can help our customers achieving their digital transformation through data in variety of industries. We are passionate about delivering value from data and are searching for people with the same mindset to join our team!

REQUIREMENTS

• 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

• 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