Asamanta Technologies LLC
Erwin Data Modeler and Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Erwin Data Modeler and Analyst, with a contract length of "unknown". The pay rate is "unknown", and work location is "remote". Key skills include expertise in PySpark, SQL, Databricks, and data modeling on Big Data.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 8, 2025
🕒 - 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
Quincy, MA
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Analysis #Data Architecture #BI (Business Intelligence) #SQL (Structured Query Language) #Apache Spark #ERWin #R #Spark SQL #Scala #Data Processing #Python #Databricks #PySpark #Data Quality
Role description
Job Description:
Top Skills Required:
Data Modelling and Data analytical Skills
Need Strong expertise on Pyspark, SQL, Databricks, BI
Data Modelling on Bigdata Skills.
Interview include coding exercise on Pyspark and SQL. (To write coding snippets)
•
• Key Responsibilities:
•
• - Design and develop robust data models using tools such as Erwin Data Modeler or IBM Data Architect, aligning with business requirements and industry best practices.
- Conduct thorough data analysis using tools like SQL, Python, or R to identify patterns, trends, and insights, ensuring high data quality and integrity.
- Hands-on experience with Apache Spark, leveraging its capabilities for efficient data processing and analytics tasks. Proficiency in related tools like Databricks is a plus.
- Collaborate with cross-functional teams to understand data requirements and contribute to the development of scalable and efficient data solutions.
Job Description:
Top Skills Required:
Data Modelling and Data analytical Skills
Need Strong expertise on Pyspark, SQL, Databricks, BI
Data Modelling on Bigdata Skills.
Interview include coding exercise on Pyspark and SQL. (To write coding snippets)
•
• Key Responsibilities:
•
• - Design and develop robust data models using tools such as Erwin Data Modeler or IBM Data Architect, aligning with business requirements and industry best practices.
- Conduct thorough data analysis using tools like SQL, Python, or R to identify patterns, trends, and insights, ensuring high data quality and integrity.
- Hands-on experience with Apache Spark, leveraging its capabilities for efficient data processing and analytics tasks. Proficiency in related tools like Databricks is a plus.
- Collaborate with cross-functional teams to understand data requirements and contribute to the development of scalable and efficient data solutions.
