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SAP Datasphere Professional

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Onsite

SAP Datasphere Professional

Launch It Consulting

SAP Datasphere Professional

Skills

SQL QueriesSAP HANAData AnalysisSAP ERPSAP Analytics Cloud

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


Technical Responsibilities

  • Design and develop solutions using SAP BTP Datasphere
  • Create scalable and optimized data models
  • Integrate data across multiple enterprise systems
  • Develop custom software components and enhancements
  • Troubleshoot performance and integration issues
  • Ensure system scalability and reliability

Leadership Responsibilities

  • Act as Subject Matter Expert (SME)
  • Lead technical discussions and decision-making
  • Guide and mentor junior team members
  • Implement software engineering best practices
  • Improve development processes and team productivity
  • Stakeholder Management
  • Collaborate with business and technical teams
  • Understand business requirements
  • Convert requirements into scalable solutions
  • Participate in sprint planning and agile ceremonies
  • Provide technical recommendations and solution guidance

Must-Have Technical Skills

  • SAP BTP Datasphere
  • SAP Datasphere architecture and development
  • Data modeling
  • Data integration
  • Data federation
  • Data replication
  • Data virtualization
  • Semantic modeling
  • Analytical datasets
  • SAP BTP Platform
  • SAP Business Technology Platform (BTP)
  • Data orchestration
  • Cloud-based data solutions
  • Integration services
  • Development & Engineering
  • Custom software development
  • System integration
  • API integration
  • Performance optimization
  • Troubleshooting and debugging
  • Agile development methodologies.

Preferred Skills

  • SAP Data & Analytics Stack
  • SAP HANA Cloud
  • SAP BW/4HANA
  • SAP Analytics Cloud (SAC)
  • SAP Data Intelligence
  • SAP Integration Suite
  • Data & Reporting
  • SQL Data Warehousing Concepts ETL/ELT Processes Data Governance Data Quality Management Reporting & AnalyticsCloud Technologies Cloud-native development Enterprise data platforms Hybrid data landscapes

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