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Lead Data Modeler

Mudrasys
Philadelphia, PA Other
POSTED ON 1/26/2023 CLOSED ON 2/2/2023

What are the responsibilities and job description for the Lead Data Modeler position at Mudrasys?

Job Description

Position: Lead Data Modeler

Location: Philadelphia PA

Duration: 12months

Exp Required:  10 yrs

 

Job Description:

 

The Lead Data Modeler is responsible for developing advanced data models associated with the Active Enterprise Data Warehouse (AEDW), IBC operational systems and IBC 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 using ERwin Data Modeler to create and maintain entity relationship diagrams, DDL, and supporting documentation as needed. Additional job functions include identifying solution design options, advanced data profiling and subject matter expertise.

key skills Required:

• 10 years of proven experience in Data Modeling

• 5 years of experience with advanced SQL query techniques

• Highly skilled in Erwin, including but not limited to: Diagraming, Complete Compare, Reverse Engineering, Forward Engineering

• Strong multi-tasking capability, with adaptability to work simultaneously in multiple environments with differing procedures, SME support and level of accountability

• 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

• Understanding of data warehousing and decision support tools and techniques

• Experience advising or mentoring staff regarding data administration, data modeling, and data mapping

Desired

• Experience creating data models for Teradata, SQL Server and Oracle databases

• Experience in Healthcare Insurance or related field strongly preferred

 

A solid understanding of the following is required:

 

• 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

Salary : $60 - $0

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