Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills : SAP BTP Datasphere
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent
Build AI native, data centric products on SAP BTP Datasphere by combining strong enterprise data warehousing and semantic modeling expertise with agentic AI architectures (LLMs + tools + retrieval + evaluation). The focus is to move beyond dashboards into intelligent data experiences—data agents, conversational analytics,
and grounded insights—built on governed Datasphere models and integrated enterprise sources.
SAP Datasphere is positioned as a data warehousing solution with integration capabilities.
Core Responsibilities
AI Native Data Product Engineering (on Datasphere)
Design and implement governed data products using Datasphere concepts such as Spaces and shareable models/views, enabling teams to explore, transform, and share curated datasets across domains.
Build semantic models that are fit for both analytics and AI consumption (explicit entity definitions, measures, hierarchies, lineage-friendly design).
Retrieval + Grounding (RAG) over Enterprise Data
Create grounded AI experiences by connecting LLM applications to Datasphere s curated models and enterprise sources (SAP and non SAP), ensuring responses are traceable to governed data.
Engineer retrieval strategies that respect domain boundaries (spaces), freshness needs, and ac
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