Senior Software Engineer - SAP MDG

HD Supply | Global Technology Center; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

HD Supply | Global Technology Center in Chennai, India, seeks a Senior Software Engineer – Master Data (MDG) to design, implement, and support SAP MDG based master data management solutions. You will configure data models, governance rules, and workflows while enabling secure data replication across SAP and non-SAP systems.

The role requires 8–10 years in software engineering with 5+ years in SAP MDG, plus hands-on experience with DRF, BRF+, and ABAP enhancements.

Qualifications

• 8–10 years in software engineering with 5+ years in SAP MDG

Responsibilities

• 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 ABAP enhancements for validations and UI logic
• Ensure scalable, performance-optimized MDG configurations in enterprise data warehouses
• Exposure to IDOC processing and SOA messaging
• Collaborate with cross-functional teams to translate requirements into MDG solutions
• Support testing cycles, go-live readiness, and hypercare activities with data integrity

Skills

SAP MDG

BRF+

FPM

SOA/IDoc

ABAP basics

NWBC/Fiori

Data governance

Data replication

Education

Bachelor’s or Master in CS/IS

SAP MDG certification (preferred)

Tools

DRF

ALE/IDoc

NWBC

Job description

As a Senior Software Engineer – Master Data (MDG), you will be responsible for the design, development, and support of Master Data Management solutions using SAP MDG. You will work with cross-functional teams to configure data models, implement governance workflows, and enable secure data replication across SAP and non-SAP systems. This role demands hands‑on experience with SAP MDG architecture, data governance principles, and SAP integration frameworks.

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
• 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 and Execution

• 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