Hybrid SAP Datasphere Consultant

at RiskInsight Consulting Pvt Ltd.

• Job title: SAP Datasphere Consultant
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, ETL, SQL
• Location requirements: Hybrid, Bengaluru, India

About the role

• SAP Datasphere Consultant responsible for end-to-end data modeling and validation. Collaborating with stakeholders to ensure data transformation and governance compliance in India.

Responsibilities

• 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.

Requirements

• 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.