Required Skills:
- SAP Datasphere
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SAP Data Builder
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CDS Views
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SAP Business Builder
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ETL / Data Pipelines
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SQL
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SAP Integration
Nice to Have:
- Data Governance
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SAP BTP
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Data Virtualization
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: - No of Years Exp: 2 to 5 Years 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: o Data Builder (Tables, Views, Transformations) o Business Builder (Business Entities, Semantic Models) o Data Integration (Replication Flows, Remote Tables, Data Flows) o 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. 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
