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    Sr Data Modeler - Dallas, United States - Infovision

    Infovision
    Infovision Dallas, United States

    4 weeks ago

    Default job background
    Technology / Internet
    Description

    Sr Biz Data Analyst/Data Modeler

    Dallas, TX (Hybrid, 3 days onsite in a week)

    Long term

    Qualifications:

    • 10+ years of experience in Data Warehousing, Data modeling, Database design.
    • Should have worked in designing & building cloud-based data warehouses, databases and data models in Azure, Databricks.
    • Should have worked in data modelling tools such as Erwin, ER Studio, etc.
    • Should have proficiency in data modelling for transactional, Operational reporting, and analytical solutions (EDW, Data Lake)
    • Should have strong hands-on experience writing complex SQL analytical queries (T-SQL, Spark SQL)
    • Should have strong hands-on experience in optimizing the data models, SQL queries, databases for performance and scalability.
    • Should have in depth knowledge of designing data models using data in Databricks, Azure Synapse, Azure SQL, SQL Server.
    • Nice to have knowledge of: Azure Data Factory, SSIS, Azure Functions, Logic Apps, Azure Event Hubs, PySpark, Spark Streaming, ADLS Gen2, Azure Blob, and Tableau.
    • Should have worked with Agile methodology.
    • Should have worked on handling Batch, Event & Streaming data.
    • Should have experience in re-modeling of legacy application databases.
    • Should have excellent communication, client-facing, problem-solving skills
    • Should have working experience in a global delivery model
    • Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team on a daily basis to analyze requirements, design, development and deployment technical solutions

    Responsibilities:

    • Collaborate with stakeholders to understand business requirements and translate them into data models that support data-driven decision-making and business objectives.
    • Design, develop, and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets.
    • Evaluating existing data systems and ensure data models facilitate interoperability and data exchange across disparate systems and platforms.
    • Implement best practices for data modeling, including normalization, denormalization, and optimization techniques to ensure data integrity and efficiency.
    • Work closely with database administrators and developers to implement data models into database systems efficiently.
    • Perform database performance tuning and optimization to enhance performance and scalability.
    • Partner with data engineering teams to define allowable table structures, naming conventions, and schema design.
    • Ensure data models comply with data governance policies, standards, and regulations.
    • Collaborate with data governance teams to establish data modeling standards, processes, and

    ensure data models comply with data governance policies, standards, and regulations.

    • Develop data integration strategies and solutions to enable seamless data flow between systems and applications.
    • Collaborate with cross-functional teams including data scientists, business analysts, solution architects, and DevOps engineers, to deliver end-to-end data solutions that meet business requirements.
    • Analyze the different source systems, profile data, understand, document & fix Data Quality issues
    • Create design documents, Source to Target Mapping documents and any supporting documents needed for deployment/migration
    • Support team during troubleshooting & debugging defects & bug fixes, business requests, environment migrations & other adhoc requests
    • Document best practices, code base, and share knowledge
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