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Data Modeler (Locals Only) (GC or USC)

This role is for a Data Modeler in New York City, NY, requiring 5+ years of data modeling experience, AWS Cloud expertise, and financial industry knowledge. A Bachelor's degree and AWS certification are mandatory. Long-term contract with competitive pay.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, NY
🧠 - Skills detailed
#Scripting #Oracle #"ETL (Extract #Transform #Load)" #SQL Server #Metadata #Cloud #Python #Data Catalog #RDS (Amazon Relational Database Service) #Normalization #NoSQL #S3 (Amazon Simple Storage Service) #Snowflake #Redshift #AWS Glue #DynamoDB #ERWin #Databases #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Modeling #Athena #Computer Science #Security #Data Processing #Data Normalization #Big Data #PostgreSQL #Data Governance #Data Management #Data Integration
Role description
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Data Modeler with Database and AWS Cloud Experience

Onsite- New York City, NY (Locals Only) (GC or USC)

Long Term

Required Skills:
• Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• 5+ years of experience in data modeling for relational databases such as SQL Server, Oracle, or PostgreSQL.
• Experience with AWS Cloud services like Redshift, S3, Glue, and RDS.
• Financial experience
• Strong knowledge of data warehousing concepts, Star/Snowflake schema, and data normalization/denormalization.
• Proficiency in ER modeling tools (e.g., ER/Studio, Erwin, or similar).
• Hands-on experience with ETL processes and data integration.
• Strong SQL skills for querying and analyzing relational databases.
• Familiarity with data governance and security best practices.
• Excellent communication and collaboration skills.
• Experience with NoSQL databases and big data technologies (e.g., DynamoDB, Athena, EMR).
• AWS Certification (e.g., AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect).
• Familiarity with Python or other scripting languages for data processing.
• Experience in metadata management and data cataloging tools like AWS Glue Data Catalog.