Realtek Consulting LLC
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler on a "contract length" basis with a pay rate of "$X per hour." Location is "remote/on-site." Key skills include data modeling techniques, database systems (Oracle, SQL Server, PostgreSQL, Snowflake), and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #PostgreSQL #Version Control #Data Accuracy #Scala #"ETL (Extract #Transform #Load)" #Database Systems #SQL Server #Big Data #Snowflake #Physical Data Model #Data Quality #Documentation #Oracle #Spark (Apache Spark) #Databases #Hadoop #Database Performance #Data Engineering #ERWin #Metadata #Data Modeling
Role description
Overview:
A Data Modeler creates logical and physical data models that define how data is organized within databases and data platforms. They work closely with business stakeholders, analysts, and engineers to ensure data is accurate, consistent, and scalable.
Key Responsibilities
• Design conceptual, logical, and physical data models
• Define entities, relationships, attributes, and data flows
• Translate business requirements into data structures
• Create and maintain data dictionaries and metadata
• Collaborate with data engineers, DBAs, and analysts
• Ensure data quality, consistency, and governance standards
• Optimize database performance through proper modeling
• Support data warehousing and ETL processes
• Maintain documentation and version control of models
Technical Skills
• Strong knowledge of:
· Data modeling techniques (ER modeling, dimensional modeling)
· Database systems (Oracle, SQL Server, PostgreSQL, Snowflake)
· SQL and query optimization
• Familiarity with:
· Data warehousing concepts (star schema, snowflake schema)
· ETL/ELT processes
· Big data platforms (Hadoop, Spark)
• Experience with modeling tools:
· ERwin, ER/Studio, PowerDesigner
Analytical Skills
• Ability to understand complex business processes
• Strong attention to detail and data accuracy
• Problem-solving and critical thinking
Overview:
A Data Modeler creates logical and physical data models that define how data is organized within databases and data platforms. They work closely with business stakeholders, analysts, and engineers to ensure data is accurate, consistent, and scalable.
Key Responsibilities
• Design conceptual, logical, and physical data models
• Define entities, relationships, attributes, and data flows
• Translate business requirements into data structures
• Create and maintain data dictionaries and metadata
• Collaborate with data engineers, DBAs, and analysts
• Ensure data quality, consistency, and governance standards
• Optimize database performance through proper modeling
• Support data warehousing and ETL processes
• Maintain documentation and version control of models
Technical Skills
• Strong knowledge of:
· Data modeling techniques (ER modeling, dimensional modeling)
· Database systems (Oracle, SQL Server, PostgreSQL, Snowflake)
· SQL and query optimization
• Familiarity with:
· Data warehousing concepts (star schema, snowflake schema)
· ETL/ELT processes
· Big data platforms (Hadoop, Spark)
• Experience with modeling tools:
· ERwin, ER/Studio, PowerDesigner
Analytical Skills
• Ability to understand complex business processes
• Strong attention to detail and data accuracy
• Problem-solving and critical thinking
