Logical Data Modeler

Globalchannelmanagement

  • Houston, Texas
  • 1 day ago
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    Skills

    • Analysis Skillsunmatched
    • Business Modelunmatched
    • Communication Skillsunmatched
    • Data Migrationunmatched
    • Data Modelingunmatched
    • Data Modeling Toolsunmatched
    • Data Qualityunmatched
    • Database Administrationunmatched
    • Database Designunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Database Management Software/Systems (DBMS)unmatched
    • Database Technologyunmatched
    • Embarcadero ER/Studiounmatched
    • Enterprise Architectureunmatched
    • Metadataunmatched
    • Oracleunmatched
    • Oracle Databaseunmatched
    • Problem Solving Skillsunmatched
    • Product Lifecycleunmatched
    • Relational Databases (RDBMS)unmatched
    • Scripting (Scripting Languages)unmatched
    • erwin Data Modelerunmatched

    Description

    Logical Data Modeler needs 3+ years of experience in data modeling, database design, or data architecture.

    Logical Data Modeler requires:

    Bachelor's degree or technical certification with a minimum of three (3) years' related experience.

    Experience with supporting Oracle databases.

    Experience with cloud platforms (e.g., Azure, Google, and AWS) and cloud-native databases.

    Exposure to database administration tasks such as installation, configuration, and maintenance of Oracle DBMS.

    Experience supporting development lifecycle environments and data migration scripting.

    Knowledge of data warehousing and ETL processes.

    Strong understanding of relational database concepts, normalization, and data integrity.
    Proficiency in data modeling tools (e.g. ERwin, ER/Studio, etc).
    Familiarity with data governance, metadata management, and data quality principles.
    Excellent analytical, problem-solving, and communication skills.

    Logical Data Modeler duties:

    Design and maintain logical data models that reflect business requirements and support enterprise data architecture.
    Collaborate with business analysts and stakeholders to gather and interpret data requirements.
    Translate business needs into normalized data structures and entity-relationship diagrams (ERDs).
    Ensure logical models align with physical database implementations and performance goals.
    Maintain metadata and data dictionaries to support data governance and lineage.
    Support data integration, migration, and transformation efforts by providing data modeling expertise.

    Numbers & Facts

    LocationHouston, Texas

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