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- Develop common definitions for sourced data (current state vs. future state).
- Design common keys in the physical data structure.
- Establish future data integration specifications.
- Assess MDM/ERP data models in the clients landscape.
- Prepare technical specifications for data modeling that align with business requirements for ERP Go Live and future deployments.
- Consider ongoing Data Governance needs.
- Analyze data intake and outbound applications, ERP data, and BI warehouse schema.
- Determine best-fit data interchange methods.
- Evaluate daily ETL data volume and plan performance measures.
- Implement security measures during the development model in Data Integration (DI).
- Identify factors negatively impacting integration.
- Forecast resource requirements and establish delivery timelines.
- Review data cleansing and enrichment strategies.
- Propose changes based on business requirements.
- Assess middleware tools for data transformation and routing.
- Work closely with SAP BPOs, SMEs, and Technology Solution Architects.
- Perform source system analysis.
- Develop normalized and physical schemas.
- Bachelors Degree.
- Professional Experience:
- At least 8 years in data integration.
- 3-5 years of ETL design experience, specifically within an SAP environment.
- Technical Expertise:
- Proficient in SAP S4 HANA data integration and provisioning.
- Solid foundation in SAP S4 HANA database systems.
- Extensive knowledge in DW/BI solution analysis, architecture, design, and development.
- Thorough understanding of SAP hierarchy, concepts, and Data Warehousing methodologies.
- Additional Requirements:
- Willingness to travel as needed.
Sr. Manager ERP Data Integration - Fairhaven, United States - WiserWulff
WiserWulff
Fairhaven, United States
1 month ago
Description
Role: Sr. Manager ERP Data Integration
Location: hybrid must be in driving distance to Fairhaven, MA
Duration: PERM
As a Data Integration Lead, you will play a crucial role in ensuring seamless data flow across systems. Your responsibilities include:
1.Planning Data Integration:
2.Evaluate Existing Data Models:
3.Optimize Data Interchange:
4.Ensure Security and Efficiency:
5.Enhance Data Quality:
6.Collaborate Across Teams:
Requirements: