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    Data Modeler - San Antonio, United States - Diverse Lynx

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    Description
    Job Profile :
    Data Modeler


    Job Location :
    San Antonio, TX ( Onsite hybrid )
    Type- Full Time/ Permanent


    Preferred 9+ years of experience

    Lead efforts to analyze data for source/target mappings, create T-SQL scripts for data processing. Involve in data governance processes relate to data quality and information management, managing the metadata repository etc.

    Accomplish at designing dashboards and data summaries for technical and non-technical audiences and facilitating implementation of business strategies and missions.

    Design the data marts in dimensional data modeling using star and snowflake schemas.

    Develop data architecture prototypes and data models including ETL staging models, audit control models and traditional data warehouse dimension/fact models.

    Work extensively with XML schema generation.

    Design logical and physical data-models normalizing unstructured mainframe data into OLTP schema. Involve in the data model changes in XML format. Generate XML structures as a part of the JSON design. Create control tables to control or switch the source data extraction. Develop interface pages in Java script by facilitating the user to pass parameters into the report.

    Provide creative and technical skills, guide a team in developing cutting edge machine learning algorithms using Java.

    Assist in designing test plans, test scenarios and test cases for integration, regression and user acceptance testing. Develop stored procedures, triggers, views, and adding/changing tables for data load and transformation, and data extraction.

    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

    All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

    We promote and support a diverse workforce across all levels in the company.

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