SAP Datasphere Consultant

Role : SAP Datasphere Consultant

Exp range: 6-12 years

Location: Chennai, Bangalore, Pune, Mumbai and Hyderabad

Virtual Interview : 10th Jul

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Roles & Responsibilit

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1. Solution Design & Architec

• tureDesign scalable data models, semantic layers, and analytic models using SAP Datasph
• ere.Architect hybrid scenarios integrating Datasphere with SAP and non-SAP syst
• ems.Define data products, shared entities, and governed data layers across business doma
• ins.Create optimal strategies for federation vs replication based on business and performance ne

eds.2. Data Integration & Mode

• lingBuild and maintain Data Flows, Replication Flows, and pipeline orchestrat
• ion.Integrate data from S/4HANA, SAP BW/4HANA, SAP ECC, cloud applications, and 3rdparty sour
• ces.Develop harmonized and curated layers, including SCD handling, data quality rules, and transformati
• ons.Work with Business Builder to create business entities, relationships, measures, and semantic mod

els.3. Analytics & Consumption L

• ayerDesign Analytic Models for consumption by SAP Analytics Cloud (SAC), BI tools, and A
• PIs.Create KPIs, hierarchies, measures, currency conversions, and shared dimensi
• ons.Optimize query performance through pruning, materialization, and source pushd

own.4. Governance, Security & Operat

• ionsImplement role-based access, row-level security (RLS), and data privacy contr
• ols.Manage transports, deployments, and versioning across development, QA, and product
• ion.Use catalog, metadata management, and lineage views for governa
• nce.Monitor pipeline performance, troubleshoot failures, and optimize resource usage in Spa

ces.5. Stakeholder Collabora

• tionGather business requirements and translate them into scalable data architectu
• res.Collaborate with business teams, BI teams, and data analy
• sts.Provide documentation, technical guidance, and user train

ing.Required Skills & Qualificat

• ions5-10+ years of experience in data warehousing, data modeling, or SAP analyt
• ics.2+ years hands-on experience with SAP Datasphere / SAP Data Warehouse Cl
• oud.Strong experience w
• ith:Data Flows & Replication F
• lowsSpaces & govern
• anceBusiness Bui
• lderAnalytic Mo
• delsConnectivity to SAP and non-SAP sou
• rcesSolid understanding of SAP data models (S/4HANA, BW/4HANA, E
• CC).Strong SQL, data modeling, and ETL ski
• lls.Experience with SAP Analytics Cloud (SAC) is a strong advant
• age.Knowledge of cloud platforms (Azure, AWS, GCP) is a p