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    Data Modeler - Calgary, Canada - Myticas Consulting

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    Description
    Myticas Consulting's Calgary based client is looking for a Senior Data Modeler for a long-term hybrid contract opportunity.


    Experience:

    • Bachelor's degree in Computer Science, Information Systems, or a related field
    • 8+ years of experience in Data Modeling, data integration and ETL development
    • Demonstrated experience/knowledge with data modelling techniques, ERD, enterprise data
    • Familiar in building from conceptual/ logical data model to physical data models
    • Minimum 8 years of practical, handson project experience with designing and implementing data models in large enterprise databases
    • Proficiency in relational SQL and NoSQL database technologies
    • Familiarity with data modeling software such as Visual Paradigm, Microsoft Visio, SAP PowerDesigner, Lucidchart, or erwin Data Modeler
    • Demonstrated experience designing and deploying various analytical data modeling methodologies (e.g., Star, Snowflake, Kimball, Inmon, Data Vault 2.0) Knowledge of data architecture, data engineering, and ETL principles
    • Knowledge of slowly changing dimension (SCD) implementations
    • Demonstrated experience with other ETL platforms/frameworks considered an asset (e.g., Talend, dbt, DataStage)
    • Proficiency in SQL, Python, or other scripting languages
    • Knowledge of data modeling, data warehousing, and ETL principles
    • Demonstrated experience designing and deploying various analytical data modeling methodologies (e.g., Star, Snowflake, Kimball, Inmon, Data Vault 2.0)
    • Strong problemsolving skills and attention to detail
    • Excellent communication, interpersonal and collaboration skills
    • Familiarity with cloud services such as Azure, AWS, or GCP considered an asset
    • Experience with Agile and traditional SDLC delivery methodologies
    • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
    • Experience working with industry standard data models
    • Proficiency in relational database technologies
    • Functional knowledge in Oil and Gas is a huge plus
    • Demonstrated experience in conducting workshops with key stakeholders in the Enterprise data teams

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