L
RemoteContractMid level
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Estimated pay
Estimate$105K–$192K/yr
Estimate — the employer hasn't published pay.
Based on 176 similar mid-level Consulting & Strategy jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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At a glance
- Experience asked
- 3+ years
- Education
- Master's
- Languages
- English
Skills mentioned
agilesecurity
About the role
This is a remote position.
For our client we are looking for a SAP MDG/Master Data Consultant.
The clients Data Management Project is a cloud-based service that provides seamless and scalable access to business-critical data for decision making. The project aims to create a unified view of data across the enterprise, regardless of where it is stored, and to enable advanced analytics and data-driven intelligence.
As a Data Management Consultant, you will be responsible for:
- Analyzing business requirements and translating them into functional and technical specifications.
- Developing custom solutions and enhancements based on sprint backlogs and user feedback.
- Fixing bugs and ensuring quality during user acceptance tests.
- Supporting and executing cut-over plans and data migration activities.
- Ensuring stable operations and performance of the data management platform.
- Providing expert advice or developing solutions using SAP MDG Technical and Integration technologies for meeting customer needs.
- Working from grooming user stories, preparing technical specifications and test cases.
- Working in a DevOps culture, sharing knowledge and being responsible for both build and operations.
Requirements
- At least 3 years of experience in SAP data management, data governance, or data integration projects.
- Proficiency in SAP Data Intelligence Cloud, SAP Master Data Governance, SAP Extended Enterprise Content Management, SAP Data Services, and SAP Data Quality Management.
- Experience in SAP Datasphere, SAP Data Warehouse Cloud, or SAP HANA Cloud.
- Knowledge of data modeling, data architecture, data quality, and data security best practices.
- Experience in agile methodologies, DevOps tools, and cloud technologies.
- Excellent communication, collaboration, and problem-solving skills.
- Fluent in English.
Originally posted on Himalayas