Data ModelerLocation: Open to Remote Assignment Type: 2 year, possible extension.Supplier Vetting Questions - *Please include answers to these question at the top of candidate resume. Submittals without answers will not be considered. Candidate responses will not be accepted via email.
Additions or alterations to answers will not be accepted:1) Final round interview requires candidate to show their Data Modeling Experience in real time and requires you to have your own modeling tool or demo software (NO Visio, PowerPoint, etc). 2) Are you able to accommodate this request, if so, what software will you be using to Model in your interview?Job DescriptionThe Sr. Data Modeler will work closely with project teams to understand business requirements and provide data modeling subject matter expertise.
Strong quantitative and analytic skills are required.The Sr. Data Modeler will:Develop logical and physical data models, in Traditional Data Stores (i.e. DB2, Oracle) and in NoSQL (i.e.
Snowflake, MongoDB)Baseline DDLsDevelop, test, and implement scripts, programs, and related processes to collect, manage, and publish DEV and PROD metadata from data modelsDevelop DDL implementation/back-out plansPromote data models into production metadata environmentsSupport DDL PROD implementationSupport post-production validation of DDLBe able to support multiple efforts concurrently, in Waterfall, Agile or Modern Delivery.Educational and Work Requirements:• Bachelor Degree from an accredited university with coursework in Business, Information Technology, or Engineering.• 8-10 years of data modeling and metadata management experience.