SAP Datasphere Developer

About the Client

Our client is a global healthcare leader with a strong digital backbone, building next-generation analytics capabilities across their enterprise. They’re scaling a modern data ecosystem powered by SAP Datasphere, BW / 4HANA, Azure, and advanced analytics tools—creating an environment where innovation isn’t just encouraged, it’s expected. If you enjoy architecting elegant data flows and shaping the foundation of enterprise insights, this platform will feel like a playground of possibility.

Key Responsibilities

Design, develop, and optimize data models within SAP Datasphere , integrating with BW / 4HANA and SAP BW.

Build, enhance, and maintain CDS Views , analytical artefacts, and reusable data objects.

Develop and support Analytical Fiori Apps and deliver end-to-end reporting using SAP SAC .

Integrate Datasphere with SAP Business Data Cloud (BDC) and Azure-based data platforms.

Collaborate with cross-functional teams to design scalable data pipelines using Azure Synapse, Microsoft Fabric, and Databricks.

Drive data governance, performance optimization, and best practices across SAP data landscapes.

Support automated CI / CD processes, testing, monitoring, and upgrades across the SAP ecosystem.

Translate complex data requirements into intuitive, business-ready analytics solutions.

Must-Have Skills

Graduate in relevant field with 5+ years of Total experience

2+ years hands-on experience with SAP Datasphere (non-negotiable).

Strong proficiency in SAP BW / 4HANA and HANA modeling (calculation views, optimization).

Proven experience with CDS Views development (complex views and data modeling).

2–3 years of expertise with SAP Analytics Cloud (SAC) .

Knowledge of Azure Cloud services , including data integration and storage.

Familiarity with Synapse, Fabric, and Databricks.

Experience with Analytical Fiori Apps and SAP UI5 fundamentals.

Strong stakeholder management, communication, and the ability to simplify technical concepts.

Location : Gurgaon / Gurgram

Work Mode : WFO