SAP Datasphere

Key Responsibilities

• Gather business requirements and translate them into SAP Datasphere data models and analytical solutions.
• Design and develop Spaces, Local Tables, Views, Data Flows, Replication Flows, Transformation Flows, and Task Chains in SAP Datasphere.
• Build and maintain enterprise data models, semantic layers, and analytical datasets.
• Integrate SAP and non-SAP data sources using SAP Datasphere.
• Develop and optimize data pipelines, ETL/ELT processes, and data transformation logic.
• Create and manage analytical models for reporting and dashboarding requirements.
• Collaborate with SAP Analytics Cloud (SAC), SAP BW/4HANA, S/4HANA, and BTP teams.
• Ensure data quality, security, governance, and performance optimization.
• Perform unit testing, SIT, UAT, and production support activities.
• Prepare technical documentation and provide end-user training and knowledge transfer. [VenuGopal...Datasphere | PDF], [Naukri_Ish...arg[7y_0m] | PDF]

Mandatory Skills

• 5+ years of experience in SAP Data & Analytics technologies.
• Hands-on experience with SAP Datasphere development and administration.
• Strong expertise in:
  • Data Modeling (Logical & Physical Models)
  • Data Integration & Replication
  • Data Flows & Transformation Flows
  • Replication Flows & Task Chains
  • SQL & Performance Optimization
  • Data Warehousing Concepts
• Experience integrating SAP S/4HANA, SAP BW/4HANA, SAP HANA, and non-SAP sources.
• Strong understanding of ETL/ELT processes and data transformation techniques.
• Experience with security, roles, analytical privileges, and data governance.
• Strong stakeholder management and communication skills.

Preferred Skills

• SAP Analytics Cloud (SAC) Reporting & Planning.
• SAP BW/4HANA development and modeling.
• SAP BTP exposure.
• Experience with HANA Calculation Views and SQL Script.
• Knowledge of Data Lake, Snowflake, an d cloud data platforms.
• Experience in Agile/Scrum delivery environments.