Join NTT DATA as a SAP Datasphere Consultant and contribute to innovative data solutions. This role involves designing, building, and maintaining data models and integration flows within SAP Datasphere. You will work with various SAP and non-SAP data sources, ensuring optimized architecture for both real-time and batch processing. The position also includes deploying agentic AI use cases and troubleshooting data-related issues.

This is an exciting opportunity to grow with a forward-thinking organization that values inclusivity and adaptability. We are committed to accelerating client success and making a positive societal impact through responsible innovation.

Develop and manage SAP Datasphere data models, including relational, analytical, and semantic layers. Create and maintain data flows, pipelines, and transformations using SAP Datasphere tools. Configure Spaces, Connections, and security settings within Datasphere. Integrate SAP and non-SAP sources, leveraging patterns like SFTP, Azure Blob, and S3 Buckets. Implement efficient architectures for data integration and optimize performance. Troubleshoot connectivity, data load, and performance issues. Support agentic AI use cases within SAP Datasphere for end-to-end data processing.

Gain working knowledge of SAP BW/BW on HANA/BW/4HANA concepts for data extraction and virtualization. Develop CDS Views and HANA Calculation Views. Understand BW support concepts like process chains and error handling. Troubleshoot BW reporting and data load issues. Work on SAP Analytics Cloud integration, enabling SAC connectivity and supporting SAC reporting consumption. Basic understanding of SAP BPC and financial planning concepts is also expected.

Proficiency in SAP Datasphere development, including data modeling and data flow creation. Experience with integrating various data sources and implementing optimized architectures. Strong troubleshooting skills for data connectivity, loads, and performance. Working knowledge of SAP BW/BW/4HANA concepts and ability to extract/consume BW objects. Familiarity with SAP Analytics Cloud integration and reporting is required. Basic understanding of SAP BPC and Financial Planning & Analytics concepts is beneficial.

Experience with agentic AI use cases in SAP Datasphere is a plus. Ability to analyze the impact of changes on existing data is important. Understanding of data persistence strategies and performance tuning within Datasphere is expected. Candidates should possess a strong analytical mindset and problem-solving abilities to address complex data challenges.