Cloud Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer with a 12-month contract, offering a competitive pay rate. Key skills include Azure Data Factory, SQL Server, and data warehousing. A Bachelor's degree in computer science or related fields is required.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
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🗓️ - Date discovered
August 7, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Spark (Apache Spark) #SQL (Structured Query Language) #SSIS (SQL Server Integration Services) #SSAS (SQL Server Analysis Services) #Synapse #SSRS (SQL Server Reporting Services) #Azure Data Factory #Shell Scripting #API (Application Programming Interface) #Azure SQL Database #Cloud #Storage #DAX #ADF (Azure Data Factory) #Azure Stream Analytics #Databricks #Azure HDInsight #Azure SQL #Azure Databricks #Data Lake #SQL Server #Infrastructure as Code (IaC) #Python #AWS (Amazon Web Services) #DevOps #BI (Business Intelligence) #C# #Security #Data Pipeline #Data Engineering #Azure #Data Warehouse #IoT (Internet of Things) #Azure Cosmos DB #Microsoft Power BI #Scripting #MS SQL (Microsoft SQL Server) #Computer Science
Role description
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Cloud Data Engineer:
a. Minimum 12 years of relevant experience in architecting, design, and development of data warehouse systems (SQL Server based on Cloud/on premise and Analytics) at enterprise scale.
b. Experience in building end to end data warehouse and analytical systems using SQL Server family of products, Analysis Services Power BI, etc.
Experience in Data platforms development using Azure SQL database, Azure Data Factory, Azure Storage, Azure Pipelines, Azure IaaS/PaaS related to database.
d. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
e. Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
f. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
g. Experience in developing NO SQL solutions using Azure Cosmos DB is essential.
h. Thorough understanding of Azure and AWS Cloud Infrastructure offerings.
i. Strong experience in common data warehouse modelling principles including Kimball, Inmon.
j. Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable.
k. Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX & OLAP with MDX) SSIS) is desirable.
l. Knowledge of C# and Hands-on with PowerShell scripting is desirable.
m. Working knowledge of Python is desirable.
n. Experience developing security models.
o. Bachelor's degree in computer science/engineering or related fields.
