Data Modeler
Security Clearance: Reliability clearance is required - must reside in Canada for 5+ years to be eligible.
Assist with creation of Conceptual/Logical/Physical Models for data integration, analytics, and reporting
• Assist with creation of full design view (integration) of data
• Participate in model management and version control of data models
• Help with design of data architectures; translate data so that it can be read by various types of computer systems
• Design and build databases that are used in relation with data architectures.
• Assist with developing strategies for archive recovery, database implementation and data acquisition
• Maintain databases by restructuring and deleting old data
• Create data usage reports to provide to scrum masters
• Work with teams and departments to assist in the coordination of future activities and plans that involve computing and data
• Identify areas in which policy or procedure changes could assist in the future expansion of businesses
• 5+ years of experience as a Data Modeler.
• Proficiency in conceptual, logical, and physical data modeling. Translate business requirements into comprehensive data models ensuring scalability, performance, and data integrity.
• Agile Methodology - Experience in collaborating within Agile Scrum teams. Translating business requirements into database designs that align with iterative development cycles.
• Facilitating discussions to gather requirements, articulate design decisions, and provide ongoing support to ensure alignment with project goals.
• Technology - proficiency and experience with data modelling tools (ER/Studio, ERWin) for common RDBMS (Oracle, SQL Server) and schema management (Liquibase, Flyway).
• Problem-Solving and Adaptability - Strong problem-solving skills for addressing complex data modeling challenges and optimizing database structures for performance and scalability. The ability to adapt to evolving project requirements, technology advancements, and changing business needs within a dynamic microservice environment.
Demonstrate data modelling using Agile Methodology
• Demonstrated knowledge of DevOps implementation experience
• Demonstrated knowledge and experience with Data Warehouse tools (DataStage, Qlik, Tableau, Power BI)
• The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. Come join our team—one of the largest IT and business consulting services firms in the world.
