Who you’ll be working with Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and cross many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions. Capgemini global Insights & Data business line requires an experienced SAP DI Specialist with Technical skills in the areas of business intelligence, cloud, data warehousing, reporting and analytics. Finally, you must be able to work closely with our clients and demonstrate individual functional and professional knowledge to ensure that the work products and deliverables are of the highest caliber to ensure client satisfaction. Role Description: • Utilize your expertise in SAP Data Intelligence to design, develop, and implement data integration solutions tailored to our unique business needs. • Work with cross-functional teams to understand data requirements, design data pipelines, and ensure seamless data movement between SAP Cloud and other SAP/non-SAP systems (both cloud and on-premise). • Proficiently manage Workflow Pipeline Operators Gen1 and Gen2, and apply Analytics annotations on S4 Hana Cloud, with a focus on Change Data Capture (CDC). • Implement Metadata Management and Governance strategies within SAP DI Data Catalogue to ensure data quality, lineage, and compliance. • Demonstrate a deep understanding of policy management and security practices within SAP DI, contributing to a secure and compliant data environment. • Collaborate with data engineers, data scientists, and business analysts to streamline data integration orchestration, data processing, and data preparation using SAP Data Intelligence. • Harness your knowledge of SAP Data Hub to create efficient and effective data extraction, transformation, and loading (ETL) pipelines from diverse SAP sources, including tables, SLT sources, BW data sources, Info cubes, DSOs, ABAP CDS Views, and BAPIs. • Explore, cleanse, refine, and reuse data assets, ensuring high data quality and consistency throughout the data lifecycle. • Contribute to continuous improvement initiatives by staying current with emerging technologies, best practices, and industry trends related to data integration and management. • Collaborate with team members to document technical specifications, processes, and guidelines. Please note this is a Hybrid work module and is for PAN India.