Responsibilities
SAP Datasphere Development: Design, develop, and implement data models, views, and data flows within SAP Datasphere, leveraging its capabilities for data integration, transformation, and virtualized consumption.
Data Integration: Create and manage connections, data flows (replication flows, transformation flows), and data integrations from various SAP (e.g., SAP ECC, S/4HANA) and non-SAP source systems into SAP Datasphere.
Data Modelling & Architecture: Work closely with Data Architects to translate logical data models into efficient physical designs within SAP Datasphere, ensuring optimal performance and scalability.
Semantic Layer Creation: Develop and maintain a clear and consistent semantic layer within Datasphere to enable intuitive self-service analytics for business users.
Performance Optimization: Monitor and optimize the performance of data loads, data transformations, and data model queries within SAP Datasphere.
Troubleshooting & Support: Identify, analyse, and resolve data-related issues within the Datasphere environment, ensuring data integrity and accuracy.
Collaboration: Partner with Business Analysts to understand requirements and collaborate with BI Developers to ensure seamless consumption of Datasphere models in reporting tools.
Documentation & Best Practices: Create and maintain technical documentation for Datasphere models, data flows, and processes. Promote and enforce best practices for development and governance within the Datasphere landscape.
Agile Participation: Work as part of an Agile Scrum team, contributing to sprint planning, daily stand-ups, and retrospectives to ensure timely and effective delivery.

Skills & Qualification:
Education: Bachelor s degree in computer science, Information Systems, or a related quantitative discipline.
Experience: Typically, 6+ years of hands-on experience specifically with SAP Datasphere (or SAP Data Warehouse Cloud before its rebranding to Datasphere) development and implementation.
SAP Data Expertise: Strong understanding of SAP ECC and/or S/4HANA data structures and integration points. Experience with SAP BW is a significant advantage.
Data Modelling: Proficient in data modelling concepts (e.g., star schema, snowflake schema, 3NF) and their application within SAP Datasphere.
SQL Proficiency: Strong command of SQL for data manipulation, querying, and performance tuning within the SAP HANA context.
Cloud Data Concepts: Good understanding of cloud data warehousing and data lake concepts.
Problem-Solving: Excellent analytical and problem-solving skills, with the ability to translate complex business requirements into technical solutions.
Communication: Strong interpersonal and communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders.
Agile Methodologies: Familiarity with Agile Scrum development methodologies.
Bonus Points:
Experience with SAP Analytics Cloud (SAC) for consuming data from Datasphere.
Knowledge of other cloud data platforms (e.g., Azure Synapse, AWS, GCP) or BI tools (e.g., Power BI).
Certification in SAP Datasphere or related SAP data technologies.