Mudrasys
Data Engineer
Mudrasys, Seattle, Washington, us, 98127
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 PowerShellGood 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.
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 PowerShellGood 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.