Data Modeler

7 days ago

Toronto, Canada Cpus Engineering Staffing Solutions Inc. Full time

We are currently requesting resumes for the following position : Data Modeler Resume Due Date : Thursday, August 21, 2025 (5:00PM EST) Job ID: 25-143 Number of Vacancies : 1 Level : MP4 Duration : 12 Months Hours of work: 35 Hours per week Location : Temp – 700 University Ave, Toronto, Base – CHQ on rotating schedule Work Mode : Hybrid – 2 days remote 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. Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion. #J-18808-Ljbffr

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