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SAP DATA Sphere/ SAC Analytics

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Onsite

SAP DATA Sphere/ SAC Analytics

WOW Softech

SAP DATA Sphere/ SAC Analytics

Skills

SQL QueriesData MiningData AnalysisSAP ERPCompliance

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹1,800,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


Immediate hiring(Mumbai only). Contact:Preetha. -7200123381

SAP DATA SPHERE/ SAC ANALYTICS

Location: Gurgaon & Mumbai

SCON 5.5. years to 8 years

We are looking for a skilled SAP Datasphere Developer with hands-on experience in data modeling, transformation and ETL within SAP Datasphere. The candidate should have good understanding of CDS views, replication flows, and integration with SAP and non-SAP systems.

Key Responsibilities -

  • Design and implement semantic data models in SAP Datasphere using business layer and analytical models.
  • Develop data pipelines for ingestion, transformation, and harmonization of data from multiple sources.
  • Configure Data Builder for creating tables, views, and transformations.
  • Create and optimize CDS views for data extraction from SAP S/4HANA or ECC systems.
  • Set up and manage Replication Flows for real-time and batch data synchronization.
  • Set up tasks chains for automation of jobs
  • Set up Data Access Control for data level authorizations.
  • Build SQL based views
  • Work with Data Integration Monitor to troubleshoot and optimize replication performance.
  • Implement assessment of SAP roadmap and impact on Datasphere
  • Ensure compliance with data governance, security policies and performance best practices.
  • Collaborate with functional and analytics teams to deliver end-to-end data solutions.

Technical Skills Required: -

SAP Datasphere Core Components:

  • Data Builder (Tables, Views, Transformations)
  • Business Builder (Business Entities, Semantic Models)
  • Data Integration (Replication Flows, Remote Tables, Data Flows)
  • SQL based Views

SAP Integration:

  • CDS Views for extraction
  • ODATA Connections
  • Understanding of APIs for data extraction

Nice-to-Have

  • Experience with SAP Business Technology Platform (BTP) services.
  • Knowledge of data governance and security best practices.
  • Exposure to API-based integrations and data virtualization.

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