Data Modeler

Confidential Company  •  Edison, NJ
Posted on 10/18/17 by Cynet Sytems
Confidential Company
Edison, NJ
IT Consulting/Services
Posted on 10/18/17 Cynet Sytems

Job Title: Data Modeler - Direct Hire / Full Time / Perm

Job Location: Edison, NJ

Job Type: Full Time / Perm / Direct Hire + Benefits

“US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”

Job Description:

  • Experience with Data Architect/Data Modeler.
  • Finance industry data modeling experience.
  • Experience with Netezza, Oracle PL/SQL.
  • Experience with Data Profiling Tools.
  • Experience with Data Modeling concepts.
  • Experience with Metadata Tools.
  • Experience with providing End User Query Support.
  • Ability to support long term goals along with immediate performance concerns.
  • Develop logical and physical data models
  • Map logical entities to the enterprise Canonical Data Model
  • Ensure data objects adhere to defined client standards and best practices
  • Create logical data model using ER STUDIO or ERWIN as the modeling tool. Strong skills in Entity Relationship Modeling (ERWin modeling software preferred)
  • Develop, test, and implement scripts, programs, and related processes to collect, manage, and publish DEV and PROD metadata from data models
  • Develop DDL implementation/back-out plans
  • Promote data models into production metadata environments
  • Support DDL PROD implementation
  • Support post-production validation of DDL
  • Provide Level of Efforts (LOEs), activity status, identify dependencies impacting deliverables, identify risks and mitigation plans, identify issues and impacts
  • Develops Logical and Physical data models to meet the needs of the organization's information systems.
  • Design and implement of database schema.
  • Maintains data integrity by working to eliminate redundancy.
  • Maintaining a model repository.
  • Delivery of complex enterprise data solutions with comprehensive understandings in Architecture, Security, Performance, Scalability, and Reliability
  • Performing analysis on data requirements and data stored across multiple systems
  • Documenting data lineage via source-to-target mapping documents, data workflows, etc
  • Providing recommendations on data model enhancements.

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