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.
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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
- 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
- Familiarity with Git
- Proficiency in SAP BW Administration, SAP BW Modeling, SAP BW Reporting
- 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