Padmi

SAP Consultant

BangalorePosted 3 months ago
Infrastructure And DatabasesMid-levelFull Time
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#SAPDatasphere #ETL #DataModeling #SAPBTP #DataIntegration #TechHiring #BackendLead #DataEngineering Job Title: SAP Datasphere Developer Experience: 2–5 Years Location: Bangalore Job Description We are looking for a skilled SAP Datasphere Developer with hands-on experience in data modeling, transformation, and ETL within SAP Datasphere. The ideal candidate should have strong expertise in designing semantic data models, building data pipelines, and integrating SAP and non-SAP systems. The candidate will work closely with analytics and functional teams to deliver end-to-end data solutions, ensuring compliance with governance, security, and performance best practices. Project Context This role supports enterprise data initiatives by: Designing and implementing semantic data models using Business Layer and Analytical Models. Developing data pipelines for ingestion, transformation, and harmonization from multiple sources. Configuring Data Builder for tables, views, and transformations. Building and optimizing CDS views for SAP S/4HANA or ECC extraction. Managing replication flows for real-time and batch data synchronization. Automating job execution with task chains. Ensuring data-level authorization with Data Access Control. Key Responsibilities Data Modeling & ETL Design, develop, and maintain semantic data models in SAP Datasphere. Configure Data Builder for tables, views, and transformations. Develop data flows and pipelines for ingestion, transformation, and harmonization. Build SQL-based views for reporting and analytics. Optimize CDS views for SAP extraction. Data Integration & Replication Configure and monitor Replication Flows for SAP and non-SAP sources. Troubleshoot and optimize replication performance using Data Integration Monitor. Manage real-time and batch data synchronization processes. Governance & Automation Implement data access control and security best practices. Automate tasks chains for ETL job execution. Ensure compliance with data governance and performance standards. Collaboration & Advisory Collaborate with functional and analytics teams to deliver solutions. Assess SAP roadmap and its impact on Datasphere. Provide technical guidance on best practices and integration strategies. Technical Skills (Mandatory) 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 APIs for data extraction Nice-to-Have Skills 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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