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SAP MM/PP Master Data Engineer - Enterprise Data Management

NVIDIA · Gurgaon

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Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 8+ years.

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Collected role description

requirements with master data support, ensuring that data structures are optimized for advanced planning systems such as SAP IBP, APO, and Anaplan. Custom Object Support: Strong experience in defining and supporting custom SAP objects tailored to specific complex manufacturing or supply chain business requirements. Collaborate with different IT and business teams to translate complex supply chain and semiconductor requirements into scalable, governed, and business-aligned data solutions. Support master data setup and enhancement requirements arising from business process changes and IT transformation initiatives; contribute to data migration and validation for ECC-to-S/4HANA transitions; and serve as the cross-functional liaison across business, data, and technology teams. What We Need to See: 8+ years of SAP experience with Core focus on the SAP Production Planning, Manufacturing, Material Management, and integration Knowledge with PLM systems. Deep understanding of maintenance and governance of complex & high-volume master data objects like Materials, BOMs, Routings, PV, and ECNs. At-least 1 SAP S/4 HANA implementation experience in Materials Management, Production Planning and Manufacturing. Familiarity with SAP Fiori/UI5 interfaces used in S/4 HANA for master data maintenance apps. Proficiency in writing functional specifications and working with ABAP developers Hands-on experience developing custom enhancements (User Exits, BAd Is) and workflow logic to trigger automatic data validation and creation. Handle third-party system integrations with SAP using IDocs, BAPIs, and Interfaces. (Optional/Good-to-have) Use debugging skills to trace issues and collaborate with technical teams. Experience with data governance tools like SAP MDG/ Informatica (Preferred) EDUCATION: Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, Industrial Engineering, or equivalent experience in enterprise data architecture and data platform implementations. Familiarity with AI-enabled productivity and data platforms such as Chat GPT, Copilot, Gemini, or Claude to improve automation, data quality, and decision-making. NVIDIA is recognized as one of the technology world’s most sought-after employers. Our workforce includes some of the most innovative and dedicated individuals globally. If you're imaginative, driven to reach objectives, and enjoy a lively work environment, then why wait? Apply today! Known as one of the most attractive employers in the tech industry, NVIDIA offers attractive salaries and an extensive benefits package. When planning your future, explore the opportunities accessible to both you and those close to you at www.nvidiabenefits.com/ NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Collected experience requirement

8+ years