SAP Master Data Support Engineer

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.

As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.

• *What You Can Expect**
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The SAP Master Data Support Engineer provides application maintenance and support (AMS) for SAP ECC master data, primarily in Materials Management (MM) and the material master lifecycle. The role primarily handles SAP master\-data support tickets raised by end users; Snowflake data engineering is secondary. The engineer partners with end users and business and technical teams to resolve issues, maintain data quality, and coordinate improvements. Work hours follow an EMEA\-aligned shift that overlaps with the European workday.

Core activities include applying data standards and governance controls; managing material, plant, MRP, and storage\-location extensions; supporting GTIN/EAN updates; and resolving data and routing issues. The engineer uses SQL to investigate and validate data and supports mass loads, SAP integrations, and continuous improvement.

Work Location: Bangalore

Work Mode: Hybrid (3 Days in office)

Shift Timing \- 11:00 AM \- 8:00 PM

• *How You'll Create Impact**
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• Build, maintain, and improve SAP master data processes and solutions that support business needs.
• Manage end\-user tickets for SAP MM master data support: triage requests, investigate issues, coordinate with relevant teams, keep end users who submitted tickets informed, and follow through to resolution.
• Create, maintain, and validate material master data in accordance with established standards and governance requirements.
• Coordinate plant, MRP, and storage\-location extensions, GTIN/EAN updates, and related routing dependencies.
• Use SQL to investigate data issues, validate records, analyze data, and support exception monitoring and reporting.
• Support SAP master data loads and integrations. As a secondary responsibility, contribute to Snowflake data\-engineering activities such as data modeling, transformations, and ingestion.
• Assess country\-specific master data needs and support related configuration or enhancement work in collaboration with the appropriate technical and business teams.
• Improve mass\-load processes, data quality controls, documentation, and operational monitoring.
• As part of the support cadence, maintain and regularly update knowledge documents that track new or changed custom SAP jobs and custom T\-codes, including their purpose and support guidance, to make support operations smoother.
• Translate stakeholder requirements into practical master data solutions; provide clear written and verbal status updates, risks, and recommendations to end users and technical and non\-technical teams; and proactively manage follow\-up.
• Contribute to testing, documentation, version control, code quality, and production support for assigned changes and processes.
• Share knowledge and provide technical guidance to colleagues through collaboration and constructive feedback.
• *What Makes You Stand Out**
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• *Role Scope**

Primary scope is hands\-on AMS support for SAP material master data across business functions, including ownership of end\-user tickets through resolution. Secondary scope includes contributing to Snowflake data\-engineering activities. This individual\-contributor role includes technical guidance and knowledge sharing, without direct people\-management responsibility.

• *Success in This Role**

Success in this role is demonstrated by resolving end\-user tickets effectively, maintaining accurate and reliable SAP master data, and communicating proactively with stakeholders through issue resolution. The engineer builds context quickly and delivers practical solutions that support business operations and improve master data processes.

• *Your Background**
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• *Required Qualifications**

• Demonstrated experience supporting SAP master data processes, particularly SAP ECC Materials Management and the material master.
• Hands\-on experience with SAP integration and data\-load technologies, particularly ALE/IDoc and LSMW.
• Working proficiency in SQL to investigate, validate, and analyze data.
• Experience applying data standards, governance practices, and quality controls.
• Ability to understand business processes and translate functional needs into data solutions.
• Strong analytical, troubleshooting, and problem\-solving skills, including the ability to recognize data patterns, anomalies, and quality issues.
• Ability to learn unfamiliar data sets and business domains quickly and adapt to changing priorities.
• Good written and verbal communication skills, with a proactive, customer\-focused approach to stakeholder management and reliable follow\-through on end\-user tickets.
• *Preferred Qualifications**

• Experience with Snowflake and data engineering, including data modeling, dbt\-based transformations, SQL optimization, stored procedures, or Python\-driven data ingestion.
• Experience with customer, supplier, or finance master data in addition to material master data.
• Familiarity with ServiceNow for submitting, tracking, and managing requests, incidents, changes, and related workflows.
• Experience providing technical guidance or leading hands\-on delivery for projects.
• Familiarity with Git, code review, and CI/CD practices.
• Experience working in project\-based environments with changing priorities or short\-term assignments.

EOE/M/F/Vet/Disability