Job Description (JD): SAP Datasphere ConsultantRole Overview

- Role Category: Software Development / BI & Analytics
- Functional Area: Data Warehousing, Enterprise AI Data Foundations, and Analytics
- Practice Unit: Next-Gen Data & Analytics (Other Niche Practice)
- Experience Range: 5 Years and above (Positions available across Consultant, Lead, and Solution Architect bands)
- Job Location: PAN India

Key Responsibilities & Deliverables

- Core Development: Design, build, and maintain enterprise-level data models in SAP Datasphere using Space Management, Data Builder, and Business Builder.
- Data Artifacts: Develop and scale semantic views, analytical models, Intelligent Lookups, Data Flows, and Task Chains.
- Hybrid Integration: Implement modern ingestion patterns to connect SAP cloud ecosystems (S/4HANA Cloud, BW/4HANA) with hyperscaler environments (Azure ADLS Gen2, AWS S3) via Kafka, SAP FedML, or OData streaming.
- Reporting Architecture: Collaborate on front-end data strategies using SAP Analytics Cloud (SAC) to generate complex data-driven reports, SAC Stories, and predictive dashboard layouts.
- Legacy Bridging: Build data provisioning components utilizing ABAP CDS Views,



ODP BW Extractors, Open ODS Views, and BTP routines.

Desired Candidate Profile (Per TCS Norms)Must-Have Technical Skills:

- Hands-on Datasphere: Minimum 3+ years of dedicated, production-level experience specifically inside SAP Datasphere.
- Ecosystem Fluency: Exceptional grasp of traditional SAP functional schemas (Finance, Logistics, Procurement, Sales).
- Niche Cross-Fluency: Strong familiarity with up-to-date data lakehouse patterns (e.g., Databricks, PySpark, Delta Lake).
- Data Governance: Practical knowledge of security implementation, data lineage tracking, and cross-platform access control (e.g., Unity Catalog).

Good-to-Have Skills:

- SAP Certified Application Associate SAP Analytics Cloud (Planning/BI).
- DevOps orchestration using Git, Azure DevOps, or GitHub Actions for Datasphere transports.

Education & Eligibility Norms:

- Qualifications: Full-time B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc.
- Academic Criteria: Consistent academic record (minimum 50% or 60% depending on the specific background clearance).

📌 Data Sphere (India)
🏢 Tata Consultancy Services
📍 India