Title: Sr. Data Modeler
Location:
Duration:
Description:
The Senior Data Modeler is responsible for developing advanced Erwin data models associated with the Active Enterprise Data Warehouse (AEDW), operational systems and the data exchange, with limited management oversight. Primary job function entails gathering and assessing business and technical requirements to create/update database objects. Delivery items include Erwin data model diagrams, DDL, and supporting documentation as needed. Additional job functions include identifying solution design options, advanced data profiling and providing subject matter expertise.
This role works closely with all development resources including Business Systems Analysts, Developers and Project Managers. The Senior Data Modeler works independently with minimal guidance and acts as a resource for colleagues with less experience.
A solid understanding of the following is required:
- Software Development Life Cycle (SDLC)
- Agile Methodology
- Logical and Physical data modeling
- Levels of Normalization
- Abstraction and Generalization
- Subtyping and Classification
- Relational model design
- Dimensional model design (Star Schemas, Snowflake designs)
- Inmon & Kimball methodologies
- Master Data Management (MDM)
- Data Profiling
- Metadata Management
- Data security and protecting information
- ETL processes, BI processes
Requirements:
- 5+ years of proven experience in Data Modeling
- Highly skilled in ERwin, including but not limited to: Diagraming, Complete Compare, Reverse Engineering, Forward Engineering
- Demonstrated ability to recognize, elicit and/or decompose complex business requirements
- Demonstrated ability to perceive patterns and relationships in data
- Demonstrated ability to design models which integrate data from disparate sources
- Demonstrated ability to design data models for complex and ragged hierarchies
- Demonstrated ability to design data models for complicated historical perspectives
- 5+ years of experience with advanced SQL query techniques
- Understanding of data warehousing and decision support tools and techniques
- Strong ability to multi-task with several concurrent issues and projects
- Demonstrated ability to interact effectively with all levels of the organization
- Strong interpersonal, written and verbal communication skills
- Experience advising or mentoring staff regarding data administration, data modeling, and data mapping
- Experience creating data models for Teradata, SQL Server and Oracle databases
- Experience in Healthcare Insurance ,or related field, strongly preferred
- provided by Dice