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Xander Talent

<div><br></div><div> <strong><u>Responsibilities:</u></strong></div><div> <strong>Logical Data Modeling:</strong> Develop and maintain logical data models using best practices, ensuring accuracy and efficiency in the representation of complex business requirements.</div><div> <strong>Tool Proficiency</strong>: Demonstrate expertise in utilizing Snowflake and Erwin modeling tools for logical data modeling tasks, ensuring seamless collaboration and efficient workflow.</div><div> <strong>Dimensional Modeling</strong>: Design and implement dimensional models to support business intelligence and analytical reporting needs, optimizing data structures for performance and query efficiency.</div><div> <strong>Conceptual Modeling:</strong> Translate high-level business requirements into conceptual models, ensuring alignment between business objectives and data architecture.</div><div> <strong>Physical Data Model Creation</strong>: Collaborate with database administrators and engineers to translate logical and conceptual models into efficient physical data models, optimizing database performance and storage utilization.</div><div> <strong>Data Integrity</strong>: Ensure data integrity and accuracy within logical and physical data models, implementing validation techniques and data governance best practices.</div><div> <strong>Documentation:</strong> Create comprehensive documentation for all data models, including entity-relationship diagrams, data dictionaries, and metadata definitions, ensuring clear communication and understanding among stakeholders.</div><div> <strong>Collaboration:</strong> Collaborate effectively with cross-functional teams, including business analysts, developers, and architects, to gather requirements, resolve issues, and ensure the successful implementation of data models.</div><div><br></div><div> <strong><u>Requirements:</u></strong></div><div>  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.</div><div>  • Proven experience in logical data modeling using Snowflake and Erwin modeling tools.</div><div>  • Strong understanding of dimensional modeling, conceptual modeling, and physical data model creation.</div><div>  • Proficiency in SQL and database query optimization techniques.</div><div>  • Excellent analytical and problem-solving skills with attention to detail.</div><div>  • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</div><div>  • Experience working in agile environments and ability to adapt to changing requirements.</div><div>  • Knowledge of data governance principles and best practices is a plus.</div><div><br></div>