Indotronix Avani Group
Senior Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Azure Data Engineer for a W2 contract, focusing on data pipeline design and optimization using Data bricks. Key skills include ETL, Azure, NLP, and Power BI. Industry experience in Quality Management Systems is required. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Diego, CA
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🧠 - Skills detailed
#Data Bricks #Data Engineering #Data Analysis #Microsoft Power BI #NLP (Natural Language Processing) #Storage #Azure Blob Storage #Compliance #Datasets #Data Ingestion #SAP #"ETL (Extract #Transform #Load)" #Azure #BI (Business Intelligence) #Data Pipeline
Role description
Only on W2
• Design, develop, and optimize data pipelines using Data bricks and Medallion architecture for structured and unstructured data.
• Implement data ingestion strategies from diverse sources (SAP, TrackWise, Salesforce, and others) ensuring high-quality, reliable data flow.
• Ingest and process large volumes of data from Azure Blob Storage into Data bricks for transformation and analytics.
• Build and maintain silver and gold layers for curated, analytics-ready datasets.
• Apply advanced statistical methods
• Develop and deploy NLP solutions for text-based data analysis, leveraging linguistic schemas for structured interpretation of unstructured data.
• Create Power BI dashboards
• Implement near real-time tracking systems and alert mechanisms for critical events and operational KPIs.
• Collaborate with cross-functional teams to align data solutions with business objectives and ensure visibility across the end-to-end operating cycle.
• Document data workflows, maintain traceability, and ensure audit readiness for all data engineering activities.
• Leverage knowledge of Quality Management Systems (QMS) to support compliance and continuous improvement
Only on W2
• Design, develop, and optimize data pipelines using Data bricks and Medallion architecture for structured and unstructured data.
• Implement data ingestion strategies from diverse sources (SAP, TrackWise, Salesforce, and others) ensuring high-quality, reliable data flow.
• Ingest and process large volumes of data from Azure Blob Storage into Data bricks for transformation and analytics.
• Build and maintain silver and gold layers for curated, analytics-ready datasets.
• Apply advanced statistical methods
• Develop and deploy NLP solutions for text-based data analysis, leveraging linguistic schemas for structured interpretation of unstructured data.
• Create Power BI dashboards
• Implement near real-time tracking systems and alert mechanisms for critical events and operational KPIs.
• Collaborate with cross-functional teams to align data solutions with business objectives and ensure visibility across the end-to-end operating cycle.
• Document data workflows, maintain traceability, and ensure audit readiness for all data engineering activities.
• Leverage knowledge of Quality Management Systems (QMS) to support compliance and continuous improvement
