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SAP Datasphere developer

Job in Post Falls, Kootenai County, Idaho, 83854, USA
Listing for: Wissen Infotech
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    Data Engineering, SAP Tech / Software
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

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/4

    HANA 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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