SAP Developer

Apply on below link
https://maersk.wd3.myworkdayjobs.com/Maersk\_Manual/job/India-Bengaluru-560064/Master-Data-Governance-Engineer\_R196453

Job Description

• Analyze business requirements, user stories, process flows, data attributes, and interface mappings, translating them into clear SAP MDG functional and technical solutions.
• Configure and enhance SAP MDG capabilities, including data models, change requests, workflows, user interfaces, validations, derivations, business rules, and replication settings
• Design, develop, and unit-test low- to medium-complexity SAP MDG custom solutions using ABAP, including enhancements, BAdIs, service or proxy extensions, reports, and background-processing logic where required.
• Prepare functional and technical specifications, solution documentation, effort estimates, dependencies, acceptance criteria, and implementation instructions for assigned work packages.
• Plan and execute unit, functional, system, integration, regression, and defect-validation testing; maintain test evidence and support business or user-acceptance testing.
• Troubleshoot MDG configuration, ABAP, workflow, data-quality, replication, and integration issues across development, testing, deployment, and production-support activities.
• Support master-data governance and quality controls through field validation, derivation rules, duplicate prevention, reference-data alignment, mapping checks, reconciliation, and corrective-action analysis.
• Collaborate with integration engineers on inbound and outbound SAP interfaces, including message mapping, error handling, acknowledgments, monitoring, and controlled replication using relevant SAP integration patterns.
• Maintain accurate solution designs, configuration records, code documentation, test scripts, deployment information, runbooks, and support knowledge.
• Work with product owners, business stakeholders, architects, developers, testers, data teams, and integration teams to deliver prioritized backlog items on time and in accordance with architecture, governance, quality, and engineering standards.

Required Qualifications, Experience, and Skills

• Hands-on experience delivering SAP MDG solutions with a combination of functional analysis, MDG configuration, technical development, testing, and support.
• Mandatory Finance Master Data knowledge, including practical understanding of representative objects such as Chart of Accounts and G/L Accounts, Cost Centers, Profit Centers, Trading Partners, financial reporting structures, hierarchies, and related reference or master data.
• Experience with Vendor, Material, and/or Customer Master Data, including the relevant SAP MDG business processes, data models, workflows, validations, extensions, and replication patterns.
• Knowledge of SAP integration technologies and patterns such as SAP PO/PI, SAP Integration Suite/CPI, APIs, IDocs, SOAP or proxy services, enterprise services, and the SAP Data Replication Framework, or equivalent SAP integration approaches
• Strong ABAP development skills are required, including the ability to analyze, develop, debug, test, and support low- to medium-complexity custom MDG solutions. Internal resource planning identifies both MDG functional and MDG ABAP engineering capabilities, while current delivery discussions explicitly reference ABAP MDG work for custom fields and enhancements.
• Experience producing functional and technical specifications and translating business requirements into maintainable configuration and code.
• Strong testing and troubleshooting capability across MDG configuration, ABAP developments, workflows, master data, interfaces, and downstream processing.
• Sound analytical, problem-solving, communication, and documentation skills, with the ability to deliver assigned activities within defined guidelines and collaborate effectively across functional and technical teams.
• Practical experience using approved AI-assisted tools to improve requirements analysis, development, code review, test-case creation, documentation, troubleshooting, knowledge retrieval, and day-to-day productivity.