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 seeking a Senior SAP Datasphere Engineer to join our team.

The ideal candidate will have expertise in SAP Datasphere and SAP HANA, with a deep understanding of data models, analytics, and architecture. This role is critical for advancing data-driven strategies and requires someone with the capability to optimize system performance and collaborate effectively within the team.

Responsibilities

• Define and design data models and analytical datasets
• Develop and optimize SQL Stored Procedures and Functions
• Conduct Performance Tuning focusing on Memory Consumption, Logging, and Partitioning
• Leverage module knowledge of SAP source systems including S/4, MDG, and CRM
• Implement and maintain connectivity using SDA, SDI, and manage SLT Replications
• Oversee system provisioning, metering, connectivity, semantics, and data execution tasks
• Utilize the Agile Framework throughout the Software Development Life Cycle
• Collaborate on SAP Analytics Cloud implementation projects
• Participate and contribute in Agile development sequences including Scrum and SAFe environments
• Communicate effectively within the team ensuring clarity and understanding of project details and updates

Requirements

• Minimum of 3 years of experience in a similar role
• Proficiency in Data Modeling, Database Performance Tuning, SAP Datasphere, SAP HANA DB, SQL
• Background in SAP BW4/Hana, SAP Analytics Cloud
• Capability to work with different connections to multiple sources and handle SLT Replications
• Strong technical understanding and previous experience in implementation of SAP Analytics Cloud
• High proficiency in English language; strong communications skills

Nice to have

• Familiarity with Git
• Proficiency in SAP BW Administration, SAP BW Modeling, SAP BW Reporting

We offer

• 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