Job Description

JOB REQUIREMENTS
Education and Certifications · Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field · SAP MDG or relevant SAP certification is preferred
  • Required Experience · 8-10 years of experience in software engineering, with at least 5 years working with SAP MDG · Proven experience in implementing MDG for key domains like Material, Customer, Vendor, or Financial data ·
  • Essential skills · Strong expertise in SAP MDG configuration including data models, entity types, change request types, and governance processes · Proficient in SAP BRF+, FPM, and Workflow design for master data approval flows · Hands-on experience with Data Replication Framework (DRF), ALE/IDoc, and SOA-based data exchange · Basic to intermediate knowledge of ABAP, especially for enhancements, BADIs, and validations · Exposure to SAP Fiori apps or NWBC UI enhancements ·
  • Desired skills · Experience working in large-scale Enterprise Data Warehouse environments · Strong understanding of data stewardship, governance policies, and golden record management · Experience with SAP MDG Consolidation and Mass Processing capabilities · Familiarity with data privacy regulations (e.g., GDPR) as applied to enterprise master data · Experience working in Agile/Scrum teams across geographies · Understanding of integration with ERP, CRM, and analytics platforms
ROLES & RESPONSIBILITIES
Delivery andExecution · Design and configure SAP MDG data models, change request workflows, and governance rules · Develop and maintain replication scenarios using DRF for downstream data distribution · Perform enhancements using ABAP for validations, derivations, and UI logic · Ensure scalable and performance-optimized MDG configurations in Enterprise Data Warehouses · Exposure to IDOC processing and SOA messaging Support and Enablement · Partner with functional consultants, architects, and business teams to gather requirements and translate them into technical MDG solutions · Troubleshoot data flow issues and perform root cause analysis for replication and workflow errors · Maintain comprehensive documentation for configurations, enhancements, and user training · Support testing cycles, go-live readiness, and hypercare activities with a focus on master data integrity and quality

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