Candidate should have data modeling experience, Erwin data modelling tool
Experience with AWS and Redshift database models is a plus
Designing L Layer experience for Large Data Transformation Program
Experience of working as a Lead Data Modeler and working with senior stakeholders
Knowledge of relational databases and data architecture computer systems, including SQL
Experience of ER modeling, big data, enterprise data, and physical data models
Experience of working with large data sets
Banking experience is a must. Finance data experience, Anaplan experience is a plus
Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin DataModeler
Excellent presentation, communication, and organizational skills
Strong attention to detail
Ability to work in a fast-paced environment
Design and develop OLAP cubes using Kyvos for large-scale data analytics. Write complex MDX queries to support reporting, dashboarding, and drill-through functionality
Build and optimize data models to support high-performance BI queries and dashboards. Implement aggregation strategies, partitioning, and performance tuning within Kyvos
Collaborate with data engineering and architecture teams to define data sources, fact / dimension relationships, and schema models
Primary Skills
Data modeling experience, Erwin data modelling tool
Experience with AWS and Redshift database models is a plus
Designing L Layer experience for Large Data Transformation Program
Experience of working as a Lead Data Modeler and working with senior stakeholders
Knowledge of relational databases and data architecture computer systems, including SQL
Experience of ER modeling, big data, enterprise data, and physical data models
Experience of working with large data sets
Banking experience is a must. Finance data experience, Anaplan experience is a plus
Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin DataModeler
Excellent presentation, communication, and organizational skills
Strong attention to detail
Ability to work in a fast-paced environment
Design and develop OLAP cubes using Kyvos for large-scale data analytics
Write complex MDX queries to support reporting, dashboarding, and drill-through functionality
Build and optimize data models to support high-performance BI queries and dashboards
Implement aggregation strategies, partitioning, and performance tuning within Kyvos
Collaborate with data engineering and architecture teams to define data sources, fact / dimension relationships, and schema models
Secondary Skills
Excellent presentation, communication, and organizational skills
Strong attention to detail
Ability to work in a fast-paced environment
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Data Modeler • Toronto, ON
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