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Data Modeler

Job in New York City, Richmond County, New York, 10261, USA
Listing for: Covetus
Full Time, Seasonal/Temporary position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below

Sr. Account Manager @ Covetus | Account Management & Client Relations

Title:
Data Modeler

Location: NYC, NY

In-Person client interview (Only local candidates)

Job Description:

Must Have Technical/Functional

Skills:

  • Looking for 10+ Years of experience.
  • ER Studio and Data Modeling expertise, Delivery of Data products leveraging Databricks on AWS, Strong Data modeling (Conceptual, Logical, Physical, 3nF, Dimensional) at both enterprise and data product level.
  • Apply ER Studio and Data Modeling expertise to a Data Engineering team dedicated to the design and development, and delivery of Data products leveraging Databricks on AWS.
  • Work with Business Architects, Solution Architects, and Data Stewards to capture business requirements in a Conceptual and Logical Data Model.
  • Contribute to ongoing updates to data modeling standards and guidelines.
  • Evaluate physical data models to ensure they align with the corresponding logical data models.
  • Create notebooks in Databricks in support of development activities (using Spark SQL, PySpark).
  • Support enterprise data catalog setup and enrichment.

Skills Needed:

  • Data management background with hands-on work experience in supporting teams that are building and testing data pipelines.
  • 4+ years of hands-on data modeling experience with ER Studio.
  • Hands-on strong Data modeling (Conceptual, Logical, Physical, 3nF, Dimensional) at both enterprise and data product level.
  • Good Databricks skills and understanding of Medallion Architecture.
  • Working knowledge of Unity Catalog.
  • Experience in the financial sector with Market securities reference data and fixed income such as Treasuries.
  • Working knowledge of traditional DBMS platforms like Oracle and Cloud DBMS like Redshift and Databricks.
  • Strong verbal, presentation, and written communication skills

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: IT Services and IT Consulting

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