Strong in Object Oriented Analysis and Design concepts
Strong understanding of the Microsoft Fabric environment setup
Proficient in programming languages such as C#, Python, and Scala with hands-on experience in data formats like JSON and YAML
Good understanding of data integration techniques, ETL processes, and data orchestration with hands-on experience in Azure Data Factory or Azure Logic Apps
Requirements:
Apply Object Oriented Analysis and Design concepts to Azure data platform projects
Set up and configure the Microsoft Fabric environment for data platform workloads
Develop and maintain data processing code using languages such as C#, Python, Scala, including working with JSON and YAML data formats
Implement data integration and ETL processes and orchestrate jobs using tools like Azure Data Factory or Azure Logic Apps
Job description
Azure Data Platform Engineer - 100% remote Location – Seattle, WA 12 Months plus contract Rate -DOE
Job Description
Strong in Object Oriented Analysis & Design concepts.
Strong understanding of the Microsoft Fabric environment setup
Strong in programming languages such as C#, Python, Scala etc. with hands-on in data interchangeable formats like JSON, YMAL.
Strong knowledge on PowerShell
Good understanding of data integration techniques, ETL processes, task/data orchestration with hands-on in AT LEAST one of the tools: Azure Data Factory, Azure Logic App.
Familiar with the Azure ecosystem, with a good understanding of areas like Azure Event Grid/Hubs, Azure Apps/Functions, Azure Stream Analytics, etc.
Problem solving and troubleshooting with good comm and continuous learning attribute.
Good to have-
Understanding of data modeling & designing principles.
Understanding of cloud-native architecture patterns, including microservices, serverless computing, and containerization. Understanding how to design scalable solutions on Azure.
Understanding of data governance principles, data privacy regulations, and security best practices. Knowledge of Azure security features, data encryption, and access control mechanisms.
Knowledge of DevOps practices and tools such as Azure DevOps, Git, and continuous integration/continuous deployment (CI/CD) pipelines.
Knowledge of database management systems, both traditional and cloud-based, like Azure Cosmos DB, Azure SQL Database, etc.