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.
