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Azure Data Factory Engineer

This role is for an "Azure Data Factory Engineer" on a contract basis, paying up to $35.00 per hour. Requires 5+ years in data integration, 2 years in Azure Data Factory, and experience with SQL, ETL, and Azure data services. Remote work.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
280
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Remote
🧠 - Skills detailed
#Data Governance #Azure #Data Lake #Azure SQL #Data Pipeline #Database Design #Documentation #Azure Data Factory #ADF (Azure Data Factory) #Scala #Security #SQL (Structured Query Language) #Azure SQL Database #"ETL (Extract #Transform #Load)" #Data Integrity #Storage #Azure Blob Storage #Data Integration
Role description
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Role: ADF Developer
USA (Remote)
5+ years of experience in data integration and ETL development, with a strong focus on Azure Data Factory.
Design, develop, and deploy end-to-end data integration solutions using Azure Data Factory.
Create and manage complex ETL pipelines to extract, transform, and load data from various sources.
Collaborate with cross-functional teams to understand data needs and deliver solutions that meet business requirements.
Monitor and troubleshoot data pipeline issues to ensure data integrity and availability.
Optimize data workflows for performance, scalability, and cost-efficiency.
Implement data governance and security best practices in data pipelines.
Maintain comprehensive documentation of data processes, configurations, and operations.
Experience in SQL and experience with data modelling, database design, and data warehousing concepts.
Experience with Azure data services such as Azure SQL Database, Azure Blob Storage, and Azure Data Lake.
Job Type: Contract
Pay: Up to $35.00 per hour
Expected hours: 40 per week
Schedule:

8 hour shift

Experience:

Azure Data Factory: 2 years (Required)
ETL: 1 year (Required)
SQL: 1 year (Required)

Work Location: Remote