Data Modeler

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 2 Year(s)
No Travel Required
Able to Provide Sponsorship

Skills

Big Data
Erwin
Data Modeler

Job Details

Hello,

 

Hope you are doing well.

 

We have an immediate opening for Data Modeler Please go through the below requirement and send me your updated resume to or please call me on to discuss more about this position.

 

Title : Data Modeler

Location : VA

Duration : Long Term

MUST : AWS, Big Data & Erwin

 

Requirements

 

Skills & Experience:

10 years of hands on design and implementation of Data Warehouse, Dimensional model and business semantic models

Should have hands on experience in designing and build data models from scratch on Cloud Data Warehouse like Redshift, Aurora , Dynamo DB

Experience in using data modelling tools like Erwin or ER Studio or others is required.

Experience on modelling in Big data environment on -premise implementation, Hive Database is preferable

Have a experience in SQL and good understanding of source systems like Oracle , SQL Server , Teradata etc is must

Should have knowledge of Knowledge of any ETL tool, Informatica is preferable

Strong communication skills

 

Responsible for the development of the conceptual, logical, and physical data models on Cloud Data Warehouse, data marts, and data lakes on target platforms like Redshift.

Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.

Implement data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)and data tools (reporting, visualization, analytics, and machine learning).

Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.

Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

 

 

EDUCATION

Bachelor s Degree in Computer Science, Information Systems, Engineering or related field or equivalent work experience.