Data Modeler
About The Position
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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees
