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Data Specialist (JSON Data Designer/Data Modeling)/Chicago, IL 12mth+ Contract (388840)
Ref No.: 18-00999
Location: Chicago, Illinois
Position Type:Contract
 VISA REQUIRED-USC, GC, EAD-GC Only
We are looking for a JSON Data Designer with data modeling experience
 
Nice to have skills (maximum of 3): JSON Data Designer
 
Required Skills: JSON Data Designer Job Role: Data Specialist Skill Set: Data Modeling JRSS
 
Description: Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system.[2] The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders. The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases. Implementation of one conceptual data model may require multiple logical data models. The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details. Data modeling defines not just data elements, but also their structures and the relationships between them. Several techniques have been developed for the design of data models. While these methodologies guide data modelers in their work, two different people using the same methodology will often come up with very different results. There are several notations for data modeling. The actual model is frequently called Entity relationship model, because it depicts data in terms of the entities and relationships described in the data. An entity-relationship model (ERM) is an abstract conceptual representation of structured data.
 
Most notable are: Bachman diagrams, Barker's notation, Chen's Notation, Data Vault Modeling, Extended Backus-Naur form, IDEF1X, Object-relational mapping, Object-Role Modeling, Relational Model, Relational Model/Tasmania.
 
Sector: Financial Services
Industry: Banking