Senior Data Modeler
ICONMA, LLC
Our Client, a Real Estate And Financial Services company, is looking for a Senior Data Modeler for their New York, NY/McLean, VA/Hybrid location. Responsibilities:
+ Inventory and create project specific technical documentation for data software and hardware solutions in place in ICM BTO
+ Specify required interlocks between ICM BTO applications/systems and ICM or other divisional applications or processes
+ Create project artifacts and recommendations for Architecture & BTO Leads to determine modernization and migration strategies for databases, platforms, APIs etc.
+ Collect and write detailed data transformation process requirements
+ Create and maintain technical, process and data-related documentation
Requirements:
+ Understanding of data modeling
+ Degree in software engineering, data science, data and systems transformations preferred, with 7-10 years of relevant work experience.
+ Outstanding quantitative, analytical, and problem-solving skills
+ Outstanding attention to detail and accuracy
+ Excellent presentation, communication and writing skills specifically software and technical documentation
+ Ability to translate complex business requirements into technical specifications
+ Experience working with different databases and understanding of data
+ Strong data and financial analytical skills; Ability to quickly understand complex financial concepts; Mortgage industry experience preferred
+ Ability to juggle and prioritize large number of activities across various applications
+ Proactive problem solver and has the ability to think holistically and creatively
+ Ability to focus on precision, accuracy, reliability, delivery and schedule
+ Phenomenal teammate with a positive attitude!
Why Should You Apply?
+ Health Benefits
+ Referral Program
+ Excellent growth and advancement opportunities
As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.
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