SAP Datasphere and Databricks Consultant_EXP 6+_Bengaluru / Hyderabad

Job description

***Key Responsibilities\\**** *1. Design and develop data models in **SAP Datasphere**, leveraging its semantic and business layer capabilities.* *2. Build and maintain **Analytical Models** for consumption by SAP Analytics Cloud and other BI tools.* *3. Utilize **Remote Tables** and **Replication Flows** to enable real-time and batch-based data provisioning.* *4. Apply prior **SAP BW / BW4HANA expertise** to modernize data warehousing scenarios and support migration or coexistence strategies.* *5. Develop and optimize **SAP Native HANA Calculation Views** for performancecritical use cases.* *6. Design, develop, and optimize **data pipelines in Databricks** using Spark and Delta Lake.* *7. Implement scalable ETL/ELT processes for structured and semistructured data.* *8. Build and manage **LakeHouse Architectures**, enabling analytics, data science, and ML workloads.* *9. Design **end-to-end data flows** across SAP Datasphere, Databricks, and BI platforms.* *10. Ensure data quality through profiling, validation rules, and reconciliation with source KPIs.* *11. Align datasets with **conformed dimensions and shared business definitions**.* *12. Integrate Databricks with SAP and nonSAP sources, including SAP Datasphere where required.* ***Job Requirements\\**** *1. SAP Datasphere (Spaces, Connections, Remote Tables, Replication Flows).* *2. SAP BW / SAP BW/4HANA (InfoProviders, ADSOs, Transformations, Process Chains).* *3. SAP Native HANA Modelling (Attribute Views, Analytic Views, Calculation Views).* *4. Databricks (Workspaces, Clusters, Jobs), Apache Spark (PySpark / SQL).* *5. Delta Lake, Parquet, structured & semistructured data, Batch and streaming data pipelines.* *6. Integration with cloud storage (e.g., ADLS, S3).* *7. Integration between SAP Datasphere, Databricks, SAC, and external tools* *8. Data quality, validation, and reconciliation.* *9. Security, access control, and compliance.*