SAP Datasphere Consultant

6 days ago

Bengaluru, India RiskInsight Consulting Pvt Ltd Full time

· Develop and manage end-to-end data models, views, and data flows within SAP Datasphere, ensuring optimal performance and scalability. · Work across all core components of Datasphere such as Data Builder, Business Builder, Catalog, Spaces, and Connections. · Build and maintain semantic models, fact/dimension tables, hierarchical structures, and analytical datasets. · Perform detailed data analysis to validate data quality, identify discrepancies, and ensure accurate data transformations. · Implement secure data access by configuring row-level and object-level security policies within Datasphere. · Design, develop, and optimize data pipelines for ingestion, transformation, and harmonization of data from SAP and non-SAP systems. · Collaborate with business stakeholders to gather requirements and translate them into robust data models and analytical layers. · Integrate Datasphere with SAP HANA, BW/4HANA, S/4HANA, cloud sources, and third-party databases. · Ensure adherence to data governance, metadata management, and security compliance. Required Skills & Qualifications · Good knowledge of all aspects of SAP Datasphere, including data modelling, semantic modelling, data flows, spaces, and security. · Proficient in data modelling, including star schema, snowflake schema, fact/dimension modelling, and semantic layer design. · Proficient in data analysis with the ability to interpret data patterns, validate transformations, and troubleshoot inconsistencies. · Strong experience implementing row-level and object-level security within SAP Datasphere. · Good understanding of OLTP and OLAP systems, ETL workflows, and data warehousing principles. · Solid hands-on experience with SAP HANA modelling, SQL scripting, and performance tuning. · Proficient in SQL with the ability to create complex queries for validation and analysis. · Experience integrating Datasphere with SAP and non-SAP systems using OData, JDBC, SDI/SDQ, or other connectors. · Familiarity with data pipelines, data ingestion methods, and transformation frameworks. · Knowledge of SAP BW, BW/4HANA, S/4HANA data structures is an advantage.

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