Sap Datasphere with Data bricks

Note- Apply if available for F2F interview on 22 Aug in Bangalore

• SAP Datasphere Expertise: 4 +years of production experience with SAP Datasphere, including Space Management, Data Builder, Business Builder, and integration with S/4HANA or BW/4HANA.
• Databricks Mastery: 3+ years of hands-on experience building enterprise-grade lakehouses using Databricks, PySpark, and Delta Lake.
• Advanced Data Ingestion: Deep understanding of modern integration patterns between SAP cloud products and hyperscaler storage (ADLS Gen2, AWS S3) via Kafka, SAP FedML, or OData/CDI streaming.
• Data Governance: Strong experience with Unity Catalog for managing cross-platform data access and data lineage.
• Cross-Ecosystem Fluency: Ability to speak the language of both traditional SAP functional teams (ABAP, S/4 schemas) and modern cloud data science teams.
• Agile & DevOps: Experience with CI/CD tools (Git, Azure DevOps, GitHub Actions) adapted for Databricks notebooks and Datasphere transports.
• Communication: Exceptional communication skills to present architectural decisions to executive stakeholders and technical teams alike.