Get AI-powered advice on this job and more exclusive features.
- Understand and translate business needs into data models supporting long-term solutions.
- Closely interact with business partners, stakeholders, functional experts, business analysts, contractors, and developers to understand the system requirements and architect and design the data model and database schema based on the requirements.
- Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
- Create logical and physical data models using standard methodologies to ensure high data quality and reduced redundancy.
- Optimize and update logical and physical data models to support new and existing projects.
- Maintain conceptual, logical and physical data models along with corresponding metadata.
- Develop standard methodologies for standard naming conventions and coding practices to ensure consistency of data models.
- Communicate effectively with no ambiguity during project execution on data model
- Understand and articulate interdependencies, constraints of the data model to Data Engineers, project teams and business teams
- Recommend opportunities for reuse of data models in new environments.
- Perform reverse engineering of physical data models from databases and SQL scripts.
- Evaluate data models and physical databases for variances and discrepancies.
- Understanding and experience in OLAP, reporting and analytics principles.
- Own the data definitions for all data tables and maintain data lineage
- Validate business data objects for accuracy and completeness.
- Analyze data-related system integration challenges and propose appropriate solutions.
- Develop data models according to company standards.
- Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
Candidate Requirements/Must Have Skills:
- Solid experience with business intelligence and data warehousing development technologies, RDBMS, Hadoop and Analytics Environments.
- Minimum 5 to 8 years of experience in IT with a minimum of 4+ years in Data Model design.
- Expertise with Big data technologies and data bricks as well as BI and data warehousing development technologies.
- Strong Data Modeling skills. Take ownership and do data modelling work themselves and do hands on work.
- Experience with Azure Solutions and SQL
- Expertise with Power Designer/Erwin Data Modeling tool
- Familiarity with Capital Markets data
- Able to communicate clearly, both verbally and in written form
- Good work ethic, results oriented, and accuracy / attention to detail are critical
Nice-To-Have Skills:
- Wealth management/capital markets industry
- Hortonworks/Cloudera HADOOP platform
Education:
- Bachelor’s degree in computer science, information systems or related.
Seniority level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Compunnel Inc. by 2x
Get notified about new Data Modeler jobs in Toronto, Ontario, Canada.
Data Labeling Associate - 6 Month Contract
Data Quality Analyst (Fraud Investigation)
Part-time Data Quality Analyst (Fraud Investigation)
Toronto, Ontario, Canada CA$40.00-CA$55.00 2 weeks ago
Freelance Data Analyst (Python) - AI Trainer
Toronto, Ontario, Canada $150,000.00-$600,000.00 1 month ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.