Strong in Object Oriented Analysis and Design concepts.
Strong programming skills in C#, Python, or Scala, with hands-on experience in data interchange formats such as JSON and YAML.
Strong knowledge of PowerShell.
Good understanding of data integration techniques, ETL processes, and task/data orchestration, with hands-on experience using at least one of the tools: Azure Data Factory or Azure Logic Apps.
Requirements:
Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory or Azure Logic Apps.
Develop data processing components in languages such as C#, Python, or Scala, and work with JSON/YAML data formats.
Troubleshoot and optimize data platform issues, ensuring reliable performance and applying continuous learning and strong communication.
Contribute to cloud-native architectural decisions on Azure, including microservices, serverless, and containerization, while aligning with security, governance, and DevOps practices.
Job description
Data Platform Engineer 100% Remote
LocationSeattle, WA
Duration 06 Months
Rate - DOE
US Citizens and those authorized to work in the U.S are encouraged to apply. We are unable to sponsor at this time.
Job Description
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 micro services, 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.