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SAP MDG / ABAP Consultant Portland, OR preferred / Any nearby client office
Why This Role Stands Out
This hybrid role offers a significant opportunity to leverage your extensive SAP MDG and S/4HANA ABAP expertise on long-term projects, contributing to critical master data governance initiatives. You'll thrive here if you are a seasoned consultant with a passion for developing innovative solutions and driving data quality. Apply now to join a dynamic team and advance your career in a flexible work environment.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
1 week ago
SAP
Job Description
Job Title: SAP MDG / ABAP Consultant
Location: Portland, OR preferred / Any nearby client office
Work Model: Hybrid
Duration: 12 months plus
Experience: 10+ Years
Please send your updated resume with me at
Job Description:
We are looking for a senior SAP MDG / ABAP Consultant with strong hands-on S/4HANA ABAP and SAP MDG Material Master experience. The candidate will support master data governance, development, integration, and data quality initiatives.
Mandatory Skills:
Location: Portland, OR preferred / Any nearby client office
Work Model: Hybrid
Duration: 12 months plus
Experience: 10+ Years
Please send your updated resume with me at
Job Description:
We are looking for a senior SAP MDG / ABAP Consultant with strong hands-on S/4HANA ABAP and SAP MDG Material Master experience. The candidate will support master data governance, development, integration, and data quality initiatives.
Mandatory Skills:
- 10+ years of SAP ABAP / S/4HANA experience
- Strong hands-on ABAP on S/4HANA
- SAP MDG development, especially Material Master
- BOM (Bill of Materials) User Exit development
- Material Classification & Planning Hierarchy
- CDS Views development
- RAP-based applications
- OData services
- SQVI (Quick Viewer) development and reporting
- SAP Fiori application development
- Complex ABAP developments, enhancements, reports, interfaces, User Exits & BADIs
- Experience with master data governance, data quality, cleansing, enrichment, deduplication, and harmonization
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