SAP S / 4HANA BW

JD :

Responsibilities : 1. Data Modelling : Designing data models and schemas that align with business requirements and support efficient data storage and retrieval within SAP systems (such as SAP S / 4HANA, SAP BW / 4HANA, etc.). 2. Data Integration : Architecting data integration solutions to ensure seamless data flow between SAP and other systems, both internal and external. 3. Master Data Management : Developing strategies and solutions for managing master data across SAP applications to ensure data consistency and accuracy. 4. Data Governance : Establishing data governance frameworks and policies to ensure data quality, security, and compliance with regulatory requirements. 5. Performance Optimization : Optimizing data access and query performance within SAP systems through indexing, partitioning, and other performance tuning techniques. 6. Data Security : Implementing data security measures and access controls to protect sensitive information stored in SAP databases. 7. Metadata Management : Defining and managing metadata standards and practices to facilitate data understanding and governance. 8. Collaboration : Working closely with business stakeholders, SAP developers, data analysts, and IT teams to understand data requirements and translate them into effective data solutions. Skills and Qualifications : 1. SAP Expertise : In-depth knowledge of SAP data management technologies and modules, such as SAP HANA, SAP BW / 4HANA, SAP Data Services, SAP Information Steward, etc. Total experience 12-15 year similar area. Added advantage SAP Digital & Entertainment. 2. Data Modeling : Proficiency in data modeling techniques and tools (e.g., SAP Power Designer, ERwin) to design logical and physical data models that meet business needs. 3. Integration Skills : Experience with SAP integration technologies (e.g., SAP PI / PO, SAP CPI) and familiarity with data integration patterns and best practices. 4. Data Governance : Understanding of data governance principles, including data quality management, metadata management, and data stewardship. 5. Analytical Skills : Strong analytical and problem-solving skills to analyze complex data requirements and design appropriate solutions. 6. Communication : Excellent communication skills to collaborate effectively with stakeholders and translate business requirements into technical solutions. 7. Project Management : Ability to manage data architecture projects, including planning, resource allocation, and project execution.