Data Modeler

AI overview

Drive the development of data modeling practices and collaborate with teams to ensure database design aligns with application requirements, while ensuring data integrity and consistency.

Role: Data Modeler
Duration: Long Term
Location: Columbia, SC- Hybrid 

 

Responsibilities:

  • Define and develop data modeling practices, standards, and guidelines
  • Create and manage conceptual, logical, and physical data models and metadata by working with stakeholders and others
  • Facilitate requirements gathering sessions with business units to capture data needs and translate them into model specifications
  • Collaborate with the development teams to ensure the database design meets application requirements
  • Conduct data analysis, and quality assurance to ensure data integrity and consistency
  • Implement database schema changes and modifications
  • Document data models, metadata, data flows, and data dictionaries
  • Provide technical support and guidance to users
  • Participate in model reviews
  • Train developers and others in modeling

 

Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Systems or a related field
  • 4+ years of experience in data modeling
  • Experience with data modeling tools like Erwin or ER/Studio
  • Experience with SQL
  • Experience with databases such as Oracle, SQL Server, or MySQL
  • Knowledge of data warehousing and business intelligence concepts
  • Knowledge of cloud-based data storage and processing platforms such as AWS (S3, Redshift), Snowflake, Databricks
  • Excellent problem-solving skills and attention to detail
  • Strong communication and interpersonal skills
  • Ability to work independently and in a team environment

All your information will be kept confidential according to EEO guidelines.

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