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SAP Datasphere Consultant

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Onsite

SAP Datasphere Consultant

Rigvedit

SAP Datasphere Consultant

Skills

SQL QueriesData MiningData AnalysisSAP ERPSAP Analytics Cloud

2 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

4 September 2026

What they need


  • Data Modeling Architecture: Design and build semantic models, Analytical Datasets, and Business Layers utilizing the SAP Datasphere Data Builder and Business Builder.
  • ETL Data Integration: Develop and optimize Data Flows, Replication Flows, and Transformation rules to extract and harmonize data from diverse SAP and non-SAP sources.
  • SQL CDS Views: Write and optimize complex SQL queries for data extraction and transformation; configure and manage CDS views for SAP S/4HANA integrations.
  • Cross-Platform Integration: Integrate Datasphere semantics directly with SAP Analytics Cloud (SAC) to support KPI-rich dashboards and analytic applications.
  • Governance Security: Implement Data Access Controls, Space management, and governance standards to ensure data quality and lineage across the landscape.
  • Performance Optimization: Monitor Data Integration tasks, troubleshoot data pipeline issues, and optimize queries for scalability and accuracy.

We are looking for an experienced SAP Datasphere Consultant with hands-on experience in SAP data and analytics technologies. The candidate should have strong expertise in data modeling, data integration, SQL scripting, and SAP Datasphere components.

  • Experience: 2-5+ years of hands-on experience in SAP data and analytics technologies, with a strong focus on SAP Datasphere

  • Core Competencies: Proficiency in Data Builder, Business Builder, Analytical Models, and BW Bridge.

  • Technical Proficiencies: Advanced SQL scripting and familiarity with CDS views.

  • Ecosystem Knowledge: Strong understanding of source systems including SAP S/4HANA, BW/4HANA, ECC, and SAP Analytics Cloud (SAC).

  • Integration Techniques: Hands-on experience with OData, APIs, replication flows, and Data Provisioning (DP) Agents.

  • Soft Skills: Excellent problem-solving abilities and a proven track record of translating complex business requirements into enterprise-ready data products.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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