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SAP Data Modeler
- Emplacement Toronto
- Type d’emploi Emploi contractuel
- Salaire $60 - 90 per hour
- Discipline Nucléaire
- Références JOB-30514
Title: Data Modeler
Resume Due Date: Thursday, August 21, 2025 (5:00PM EST)
Number of Vacancies: 1
Level: MP4
Duration: 12 Months
Hours of work: 35
Location:
Temp – 700 University Av (Hybrid – 2 days remote)
Base – From Oct, Oshawa on rotating schedule
Job Overview
- Analyze and document existing data sources and structures across SAP ECG and related systems.
- Design conceptual, logical, and physical data models for the S/4HANA target environment, with a focus on embedding data quality and integrity in all designs.
- Develop data mapping specifications and support data transformation, cleansing, and enrichment activities, ensuring data quality is maintained throughout.
- Develop and maintain scripts or code (e.g., Python, SQL, or similar) to automate data curation, cleansing, structuring, and enrichment, with a strong emphasis on data quality controls and validation.
- Collaborate with business and technical teams to ensure data models meet business requirements, SAP best practices, and data quality standards.
- Create and maintain comprehensive data dictionaries, mapping documents, and model diagrams, incorporating data quality rules and definitions.
- Support data validation, reconciliation, and quality assurance efforts during migration.
- Advise on data governance, master data management, and data integration strategies.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field.
- 5+ years of experience in data modelling, preferably within SAP environments.
- Hands-on experience with SAP ECG and S/4HANA data structures.
- Strong understanding of data harmonization, data quality management, and data governance principles.
- Proficiency with data modelling tools (e.g., ER/STudio, ERwin, or similar).
- Ability to write scripts or code (such as Python, SQL, or similar languages) to automate and enforce data quality during cleansing, curation, transformation, and enrichment processes.
- Excellent analytical, problem-solving, and communication skills.
- Experience in large-scale ERP migrations or transformations is highly desirable.