Data Engineer

Data Platform Engineer
Location - Seattle, WA - remote
Duration - one year
Experience: Hands-on resource with 6-8 years of experience. (Do not need senior resource as this is not a lead/PM role)
Skill set requirement.
Must have -

• Strong in Object Oriented Analysis & Design concepts.
• 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.