Data Modeler
Job Posting for Data Modeler at New York Technology Partners
Role: Data Modeler
Location: Pleasant Prairie, WI (3 days onsite per week, 2 days Remote)
Exp:- 12 years
Required: SQL, SSAS, Erwin, ETL & BI Analytics
Responsibilities:
Design, develop and deploy database models for application development to support business applications, ensuring system scalability, security, performance, and reliability.
Perform data analysis and data modeling for operational application and analytical databases.
Be responsible for data classification, naming, design of the database, and the creation of DDL.
Provide technical consulting for application teams for data naming, classification, design and handling as a part of the first line of defense for data controls in designing systems.
Suggest and implement improvements in architecture, team processes and functions.
Meet with client as required to provide delivery expertise and drive results.
Take accountability to complete work on time and raise blockers and issues to ensure timelines are met.
Ensure all deliverables are completed with a high satisfaction and build client and Trianz peer relationships to build trust and confidence.
Based on past and current client execution, work with peers to lead in the development of point of views, new solutions, accelerators that will assist in driving results.
Using your experience, provide leadership and guidance as needed with building out innovative solutions that will accelerate implementation and time to market for our clients.
Required Skills:
12 years of experience in IT, Data Analysis, Data Manipulation, or related
Hands on experience with Erwin
Experience with databases and SQL
Experience with dimensional modeling
Understanding of data modeling best practices
Full lifecycle experience in waterfall and agile development methodologies
Intelligent but practical; you want to get things done and love simplicity.
Required Qualification: Requires BA/BS in Mathematics, Computer Science, Business Administration, or Analytics related field.
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