BlueRose Technologies
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with 15 years of experience, requiring expertise in Erwin/ERStudio, Data Warehouse, Azure Cloud, SQL, and Oracle. Initial month in Orlando, FL, then remote with monthly travel. Duration: 1 to 3 months.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 21, 2026
🕒 - Duration
1 to 3 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Orlando, FL
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🧠 - Skills detailed
#PySpark #SQL (Structured Query Language) #Azure #Azure cloud #Oracle #Spark (Apache Spark) #Physical Data Model #Data Engineering #Conceptual Data Model #Metadata #Cloud #Data Warehouse #ERWin
Role description
•
• Candidate has to work from Orlando, FL for 1st Month, then it's Remote with Monthly travel to Client Location
•
•
• 15 Years Experience Must
• Erwin/ERStudio, Data Warehouse, Azure Cloud, SQL, Oracle and any Data Engineering experience Bigdata, Pyspark/Spark is a plus
• Should have worked in Transactional Data and Application side as well.
• Analysing and translating business needs into long-term solution data models.
• Evaluating existing data systems.
• Working with the development team to create conceptual data models and data flows.
• Developing best practices for data coding to ensure consistency within the system.
• Reviewing modifications of existing systems for cross-compatibility.
• Implementing data strategies and developing physical data models.
• Updating and optimizing local and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
•
• Candidate has to work from Orlando, FL for 1st Month, then it's Remote with Monthly travel to Client Location
•
•
• 15 Years Experience Must
• Erwin/ERStudio, Data Warehouse, Azure Cloud, SQL, Oracle and any Data Engineering experience Bigdata, Pyspark/Spark is a plus
• Should have worked in Transactional Data and Application side as well.
• Analysing and translating business needs into long-term solution data models.
• Evaluating existing data systems.
• Working with the development team to create conceptual data models and data flows.
• Developing best practices for data coding to ensure consistency within the system.
• Reviewing modifications of existing systems for cross-compatibility.
• Implementing data strategies and developing physical data models.
• Updating and optimizing local and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
