

Azure Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a contract length of 24+ months, offering a hybrid work location in Montvale NJ, Denver CO, Orlando FL, or Atlanta GA. Key skills include Azure Fabric, Azure Synapse Analytics, and Python notebooks. Experience in the US financial domain is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
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ποΈ - Date discovered
July 8, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Atlanta, GA
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π§ - Skills detailed
#Data Manipulation #Metadata #ADF (Azure Data Factory) #Data Security #Data Engineering #Compliance #Automation #Synapse #Data Management #Data Modeling #Azure SQL #Python #Azure #Storage #Azure SQL Database #Data Extraction #Data Quality #AI (Artificial Intelligence) #Azure Synapse Analytics #Scripting #Azure Data Factory #Security #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)"
Role description
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Job Title: Azure Data Engineer
Location: Hybrid - Montvale NJ or Denver CO or Orlando, FL or Atlanta GA
Duration: 24+ Months
Interview Process:
In-person interview at any of the following client locations is a must; Montvale NJ or Denver CO or Orlando, FL or Atlanta GA
Must Have:
Hands on experience with Azure Fabric & Microsoft Fabric
Hands on experience with Azure synapse analytics
Hands on experience with Python notebooks
Duties:
Proven experience as a Data Engineer, with a strong focus on Azure Synapse Analytics.
Proficiency in Python for data manipulation, scripting, and automation.
Expertise in Azure services, including Azure Data Factory, Azure SQL Database, and Azure Storage.
Hands-on experience with Azure AI Document Intelligence for document processing and data extraction.
Create, manage, and optimize ETL processes to ensure efficient data flow and high data quality.
Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
Monitor and troubleshoot data systems, ensuring optimal performance and reliability.
Implement best practices for data security, metadata management, and compliance with organizational policies.
Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
Manager Notes:
2 Days Onsite (3 Days Remote)
Second interview will be Onsite
Hands on experience with Azure Fabric & Microsoft Fabric
Hands on experience with Azure synapse analytics
Hands on experience with Python notebooks
Hands on or Able to connect large data sets to Gen AI and Gen AI Integration & Gen AI Document Intelligence
Integration Data Waterhouse
Background: Required of Tax landscape in US region in financial Domain/ Industry