Job Description

Job Description: Provide strategic guidance on data virtualization vs. replication to enhance data efficiency across SAP systems. Collaborate closely with Business Analysts to support the Enterprise Analytics platform. Deliver critical daily insights into financial, sales, and operational metrics. Oversee data flows, ensuring optimized real-time reporting and seamless cloud data integration. Manage SAP Data Sphere in coordination with SAP SAC for data replication, virtualization, and reporting efficiency. Lead SAP Data Sphere Space Management, including Connections, Data Builder, Business Builder, and Analytic Models. Integrate SAP Data Sphere with SAP S/4HANA, ABAP CDS views, Snowflake, Azure Data Lake, and other systems to establish efficient data pipelines. Develop and maintain ETL/ELT processes to ensure accurate data migration, governance, and compliance. Design and optimize scalable data models, supporting both batch and streaming data for structured and unstructured datasets. Implement SAP SAC live connections, create dashboards, and optimize performance for large-scale data analytics. Collaborate with data scientists to integrate AI/ML models and predictive analytics into business workflows. Ensure data security, governance, and observability in compliance with enterprise data policies. Design and maintain data virtualization solutions to minimize physical data movement and reduce system complexity and costs. Skills and Experience Required: Experience in SAP Analytics Cloud (SAC) and reporting tools like Power BI and Analysis for Office. Strong expertise in SAP Datasphere, S/4HANA Embedded Analytics, and SAP BTP. Hands-on experience with Python, Java, Spark, and SQL for advanced data transformation, replication, and integration. Knowledge of SAP Fiori UI5 for enhanced reporting and visualization. Experience in managing large-scale enterprise analytics and data integration projects.