Senior Data Analytics Engineer

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

• Design and implement 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 and 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.)
• 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
• Skills in component and integration testing
• Understanding of CI/CD principles and best practices. Following release processes on a project
• Motivation, independence, efficiency, and the ability to prioritize tasks under pressure
• 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

• Career development opportunities with a transparent career path
• Wide range of professional trainings, workshops, and mentoring programs plus unlimited access to LinkedIn Learning
• Learning resources and financial support for completing certification programs
• Christmas and Vacation bonus
• Corporate Health Insurance (basic and supplementary)
• Free yearly medical check-ups
• 25 days of vacation