iTech US Inc
Sr. Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Azure Data Engineer, requiring 13+ years of experience. Key skills include Apache Spark, Azure Data Factory, Azure SQL, and Azure Synapse Analytics. The position is on-site from day one, located in NJ.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Weehawken, NJ
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🧠 - Skills detailed
#Data Modeling #"ETL (Extract #Transform #Load)" #Kafka (Apache Kafka) #ADF (Azure Data Factory) #Synapse #Spark (Apache Spark) #Azure #Azure Data Factory #SQL (Structured Query Language) #Azure Synapse Analytics #Data Lake #Databases #Data Engineering #Apache Spark #Data Pipeline #Datasets #Big Data #Azure SQL
Role description
Priority from NJ or willing to work ONSITE from DAY 1 (Mandatory)
Must have 13+ years of experience as Data Engineer[ this is mandatory]
Must skills:
Apache Spark
Azure Data Factory
Azure SQL Microsoft
Azure Synapse Analytics
ETL/ELT Solutions
Expert level skills writing and optimizing complex SQL
• Experience with complex data modeling, ETL design, and using large databases in a business environment
• Experience with building data pipelines and applications to stream and process datasets at low latencies
• Fluent with Big Data technologies like Spark, Kafka and Hive
• Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
Priority from NJ or willing to work ONSITE from DAY 1 (Mandatory)
Must have 13+ years of experience as Data Engineer[ this is mandatory]
Must skills:
Apache Spark
Azure Data Factory
Azure SQL Microsoft
Azure Synapse Analytics
ETL/ELT Solutions
Expert level skills writing and optimizing complex SQL
• Experience with complex data modeling, ETL design, and using large databases in a business environment
• Experience with building data pipelines and applications to stream and process datasets at low latencies
• Fluent with Big Data technologies like Spark, Kafka and Hive
• Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
