Amtex Systems Inc.
BI Engineer/Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a BI Engineer/Architect, remote for 12 months with potential extension, offering a pay rate of "TBD." Key skills include Microsoft Fabric, Python/PySpark, SQL Server, REST API ingestion, and familiarity with Azure DevOps or GitHub; utilities experience is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#PySpark #Azure DevOps #Python #BI (Business Intelligence) #SQL Server #DevOps #Deployment #REST API #SQL (Structured Query Language) #SQL Queries #API (Application Programming Interface) #GitHub #Azure #Spark (Apache Spark) #REST (Representational State Transfer)
Role description
Role:-BI Engineer/Architect
Location:-Remote
Duration:-12 months - with extension
Must have Technical background:-
• Hands?on experience with Microsoft Fabric
• Strong Python / PySpark and SQL Server skills
• Experience with REST API ingestion
• Familiarity with Azure DevOps or GitHub
• Nice to have previous Utilities experience.
Role & Responsibilities:-
• Develop Python/PySpark notebooks in Microsoft Fabric
• Build and optimize SQL Server / T?SQL queries
• Ingest data from internal and external sources via REST APIs
• Create and manage Lakehouse/Warehouse solutions in Fabric
• Use Azure DevOps or GitHub for source control and deployments
Role:-BI Engineer/Architect
Location:-Remote
Duration:-12 months - with extension
Must have Technical background:-
• Hands?on experience with Microsoft Fabric
• Strong Python / PySpark and SQL Server skills
• Experience with REST API ingestion
• Familiarity with Azure DevOps or GitHub
• Nice to have previous Utilities experience.
Role & Responsibilities:-
• Develop Python/PySpark notebooks in Microsoft Fabric
• Build and optimize SQL Server / T?SQL queries
• Ingest data from internal and external sources via REST APIs
• Create and manage Lakehouse/Warehouse solutions in Fabric
• Use Azure DevOps or GitHub for source control and deployments
