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    Data Modeler - Toronto, ON, Canada - Tundra Technical Solutions Inc.

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    Description

    Position Title:
    Data Modeler

    Work closely with business stakeholders and analysts to align data needs with business requirements and organization's strategic goals
    Conduct data discovery and trace data lineage
    Write complex SQL queries for intricate data analysis, profiling, and retrieval
    Develop and maintain technical documentation including database designs, ER diagrams, data flow charts, system architecture diagrams, data lineage, metadata, and other relevant details
    Manage and update a data dictionary, source inventories, and reference/master data sets
    Create and refine data models to accurately represent the organization's data assets and inter-relationships, based on a clear understanding of business requirements
    Develop and maintain conceptual, logical, and physical data models
    Design and implementation of schemas, tables, views, indexes, stored procedures, and other database objects.
    Enforce data quality and governance to ensure data accuracy, reliability, and compliance
    Integrate diverse data sources ensuring that data can be combined and accessed effectively
    Collaborate with data governance teams to uphold data quality, security and compliance standards within the Data Lakehouse environment.
    Provide technical guidance, and support to team members, fostering a culture of continuous learning and innovation.
    Bachelor's or Master's degree in computer science
    Minimum of 7 years of experience in data modeling, including experience with relational, star and snowflake schemas
    Strong expertise in database design, data architecture, ETL/ELT and data warehousing
    Proficiency in Microsoft SQL Server and other databases
    Experience with Microsoft Power BI, Databricks, Apache Spark, and Microsoft Access
    Experience with Azure Cloud, Python development
    Familiarity with data integration, ETL, visualization tools
    Proficient with Data Modelling Tools
    Strong understanding of data governance, data quality and security best practices, alongside strong analytical and problem-solving skills, with the ability to troubleshoot complex issues

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