RAIS USA

Data Modelling Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modelling Specialist, remote, with a contract length of "unknown" and a pay rate of "unknown." Key skills include data modeling tools, SQL databases, Azure Cloud, and healthcare data experience is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 27, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#ERWin #Physical Data Model #Data Warehouse #Metadata #Scala #Data Management #Business Analysis #Compliance #MDM (Master Data Management) #Data Profiling #Databases #"ETL (Extract #Transform #Load)" #Data Modeling #Data Governance #Azure #JSON (JavaScript Object Notation) #Data Engineering #Normalization #Data Lake #Azure cloud #API (Application Programming Interface) #Data Integrity #Data Architecture #Cloud #SQL (Structured Query Language) #XML (eXtensible Markup Language) #Security
Role description
Job Title: Data Modelling Specialist Location: Remote Key Responsibilities β€’ Design, develop, and maintain logical and physical data models to support enterprise applications . β€’ Collaborate with business analysts, architects, and developers to translate business requirements into robust data structures. β€’ Ensure data integrity, normalization, and optimization for performance and scalability. β€’ Work closely with ETL developers and data engineers to implement models in data warehouses and operational systems. β€’ Document data models, relationships, and metadata in compliance with enterprise standards. β€’ Participate in data governance initiatives, ensuring adherence to security and compliance requirements. β€’ Conduct data profiling, identify quality issues, and define DQ rules and transformation logic. Required Skills β€’ Strong expertise in data modeling tools (e.g., ERwin, PowerDesigner) and SQL-based databases. β€’ Knowledge of data warehousing concepts, dimensional modeling, and normalization techniques. β€’ Familiarity with Azure Cloud platform and modern data architectures (Data Lake, EDH). β€’ Ability to interpret business requirements and convert them into technical specifications. β€’ Understanding of API integration and data exchange formats (JSON, XML). β€’ Excellent communication skills to work with cross-functional teams. Preferred Qualifications β€’ Experience with healthcare data domains (claims, provider, member) . β€’ Exposure to data governance frameworks and master data management. β€’ Proficiency in performance tuning and query optimization.