Data Modeler

It's a w2 Requirement

Data Modeler -

Hybrid 3 days/ week onsite

Location Chicago, IL

Job Description:
Qualifications (Must Have's): SQL skills will also be extensive. The modeler will need to be able to support others and quickly adapt the model to write the SQL to populate the framework as well as determine the best way to apply the framework to various dashboards. He or she will be creative and by able to apply his or her experience on a regular basis. 8-12 Years of overall development experience
3+ Years of PowerBI Development that demonstrates advanced skills
10+ Years of SQL experience modelling data and writing complex queries
GIT for version control
Expertise with ETL, data modeling
Expertise with complex SQL queries
Problem-solving and troubleshooting skills
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
Strong communication and collaboration skills
Nice to Haves:
Object-Oriented Framework development is a plus
Experience with Azure (ADF, ADLS, Synapse) a plus
Experience with Collibra and/or other Data governance tools a plus
Tasks & Responsibilities
The Senior Data Modeler will work independently under the Product Manager to expand the common data model that is designed to ensure that metrics and other data are consistent across all dashboards with proper performance, security, and scalability.
Work closely with the Product Manager to develop and expand the core data model and its capabilities.
Participate in knowledge transfer sessions to quickly learn and apply our data schemas and metrics.
Create, develop and improve conceptual and logical data models.
Implement relational data models and maintain data dictionary.
Collaborate with data architects and data engineers to ensure alignment of model.
Collaborate with Client and PowerBI developers who will implement the model.
Follow NT guidelines and best practices and help define design standards for enterprise data model development.
Work proactively and independently to address requirements and articulate issues/challenges to reduce delivery risks.

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