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Data Modeler with Databricks

Salary undisclosed

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Responsibilities:

  • Gather user requirements through JAD sessions, end-user interactions, and provide training on developed applications.
  • Design, develop, and implement enterprise-wide architecture for structured and unstructured data supporting Business Intelligence and data-driven applications.
  • Business process modeling, data flow modeling, and ETL specification documentation.
  • Perform extensive data cleansing, manipulation, and auditing for business purposes.
  • Design PL/SQL packages, tables, stored procedures, and triggers aligned with business objectives.
  • Work on Data Modeling in cloud environments like Databricks and Snowflake hosted on Azure.

Preferred Qualifications:

  • 4+ years of experience with cloud analytics platform modeling, especially in Azure.
  • Extensive experience in OLTP/OLAP systems, ER modeling, Star and Snowflake schemas.
  • Strong expertise in Relational and Dimensional Data Modeling, Logical/Physical Design, and ER Diagrams.
  • Familiarity with Azure cloud data services and data modeling tools.
  • Understanding of SQL/RDMS concepts and ability to implement data models in relational databases.
  • Experience with metadata management and developing Data Dictionaries.
  • Knowledge in the Retail Domain is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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