Job Description :

Job Title : Data Modeler (Critical, High Priority)

Location : Atlanta, GA

Duration: 12 Months

Job Location:

  • Preferred location is Atlanta followed by any other locations including but not limited to Richmond VA, Atlanta GA, Norfolk VA, Mason, OH, Woodland Hills CA, Thousand Oaks CA
  • Client is looking for Data Modeler to build end to end business solutions and to work with one of the leading healthcare providers in the US. The candidate must possess excellent written and verbal communication skills with the ability and know how to collaborate effectively with domain experts and technical experts in the team.
  • 5+ years of strong experience in data & system analysis including hands on experience with SQL and PL/SQL.
  • 7+ years of experience in data modeling and database design using data modeling tools like Power Designer (preferred) or Erwin or ERStudio.
  • Understanding of snowflake and cloud framework like AWS or Azure or GCP preferred.
  • Experience in OLAP strategies for Business Intelligence tools (e.g. Power BI, Thoughtspot).
  • You should have worked in multiple projects through software development processes and built conceptual/logical/physical data models leveraging the tools.
  • 7+ years of experience in Data Model for application data structures (data warehouse, data mart and semantic layer).
  • Strong experience in understanding business requirements and converting into needed data models.
  • 5+ years of experience in determining the cross-application data standards and data distribution standards.
  • 5+ years of experience working with the integration architects and designers to design the integration solution.
  • Experience and ability to develop relational, hierarchical and dimensional data models.
  • Experience working with the lines of business users, enterprise lead architect, and designers,
  • Experience in define the data requirements and structure for the application.
  • Experience In Leading Database Analysis And Design Team.
  • Demonstrate ability to develop or revise the database architecture per data requirements.
  • Experience in able to convert data and related techniques to acquire data needed to support testing, training, and other application development activities.
     
             

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