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    Asset management - Toronto, ON, Canada - Maplesoft Group

    Maplesoft Group
    Maplesoft Group Toronto, ON, Canada

    4 days ago

    Default job background
    Description
    Maplesoft implements TimeLive for Electronic time tracking.
    At Maplesoft, we value the contributions of all our employees and contractors. In turn, Maplesoft contributes to the communities where we live and operate.

    Build your future with Maplesoft's exciting technologies, deep partnerships, personal approach to consulting services, professional development opportunities and exciting company culture.

    Maplesoft Group is currently seeking a Lead Data Modeler for our client.
    Planning, migration, and integration of multiple on-prem data sources into a modern Azure data architecture.

    The focus of this initiative will be data migration and integration 10+ datasets including new and historical data, time-series and trending data and some additional datasets into a data lake.

    As the lead Data Modeler, you will need to develop conceptual data models, detailed logical data models for client's data objects, and collaborate with database developers and data engineers to implement the data models in the cloud data lake.

    Effective communication, and technical programming skillsets will be important to be a successful candidate

    Requirements Analysis:

    Work closely with stakeholders, such as business analysts and end-users, to understand the data requirements of a system or project.


    • Conceptual Modeling: Create a highlevel, abstract representation of the data requirements, known as a conceptual data model

    Logical Modeling:
    Develop a detailed logical data model based on the conceptual model. This involves defining tables, columns, primary keys, foreign keys, and other database-specific details.

    • Ensure that the data model is normalized, which means organizing data in a way that minimizes redundancy and dependency issues.
    • Data Integrity: Enforce data integrity constraints to maintain the accuracy and consistency of the data within the database.
    • Collaboration with

    Database Developers:
    Work closely with database developers and administrators to implement the data model in the cloud.

    • Create and maintain documentation for the data model, including diagrams, data dictionaries, and any other relevant information.
    • Utilizing your expertise in SQL/T-SQL, Python, C#, No-SQL, ADF, Event Hub, Databricks, Unity Catalog, Delta Lake, CosmoDB, Git, Azure DevOps, and modern architecture design principles.
    Client facing / Business stakeholder management: Analytical skills: strong data analysis skills and know how to appropriately evaluate metrics for informed decision making

    • Problemsolving capabilities: creative thinker with excellent problemsolving abilities
    • Minimum of 7 years of handson experience in data modeling.
    • Proven capacity for managing several parallel initiatives while identifying and balancing priorities effectively.
    • Strong expertise in SQL/T-SQL, Python, C#, No-SQL, ADF, Event Hub, Databricks, Unity Catalog, eDelta Lake, CosmoDB, Git, and Azure DevOps.
    • Experience in Historical Data Migration, Bulk Data Migration, Technical Documentation, Creating ERD Diagrams, and Data Engineering via ADF Databricks.
    • Familiarity with PODS data models and/or ERwin data modeling tools is a bonus.
    • Azure Data Engineer Associate (Microsoft Certified), Certified Data Management Professional (CDMP) or Certified Data Modeler (CDM), or Azure Data Fundamentals certification preferred.

    Maplesoft Group prides itself on its distinct corporate culture and recognizes that success is a direct reflection of our most valuable asset - our people.

    Maplesoft Group is an equal opportunity employer committed to diversity and inclusion.

    We are pleased to consider all qualified applicants irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans' status, Aboriginal peoples or any other legally protected factors.

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