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.