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Job Title


Data Modeler


Company : Accuro


Location : Mississauga, Ontario


Created : 2025-06-23


Job Type : Full Time


Job Description

Direct message the job poster from Accuro Staffing Expert/ConsultantUSA Resources Provider | Service Provider| Business Development | Business Relationship Management | Client Relationship... Role: Data Modeler Location: Mississauga (Hybrid/3 days onsite) Job Type: Full Time Permanent Job Description: The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL-Hive databases. These solutions support enterprise information management, business intelligence and other business interests. The successful candidate will: Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS-MS SQL Server, data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and as part of a team. Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational-MSSQL Server, dimensional, and NoSQL-Hive) and data tools (reporting, visualization, analytics). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Understand and translate business needs into data models supporting long-term solutions. Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Recommend opportunities for reuse of data models in new environments. Analyze data-related system integration challenges and propose appropriate solutions. Review modifications to existing scripts to improve efficiency and performance. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Qualification/Skills Bachelors or masters degree in computer/data science technical or related experience. 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS-MS SQL Server, dimensional, NoSQL-Hive) data platform technologies, and ETL and data ingestion protocols). Working experience with Data modeler tool- ERWIN, Visio Experience with data warehouse, data lake, and enterprise bigdata platforms required. Working experience with MS SQL server and Bigdata-Hadoop required. Good knowledge of metadata management, data modeling, and related tools required. Experience in team management, communication, and presentation. Ability to work in a fast-paced environment. Excellent presentation, communication, and organizational skill. Have exposure working with agile development methodology Thanks & Regards, Beauty Rani |ACCURO GROUP| Direct: 919-676-8033 EMAIL Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Information Services Referrals increase your chances of interviewing at Accuro by 2x Sign in to set job alerts for Data Modeler roles. Data Labeling Associate - 6 Month Contract Data Quality Analyst (Fraud Investigation) Toronto, Ontario, Canada CA$40.00-CA$43.00 23 hours ago Part-time Data Quality Analyst (Fraud Investigation) Toronto, Ontario, Canada CA$104,000.00-CA$114,000.00 13 hours ago Sr. Meter Data Management Analyst (1-Year Contract) Freelance Data Analyst (Python) - AI Trainer Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr