VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building and maintaining datasets and pipelines in Azure Data Factory while developing DevOps pipelines.
A company is looking for a Data Engineer for a fully remote contract opportunity. Key Responsibilities Manage data / cloud generalist responsibilities related to Oracle, DevOps, and Azure Cloud Build and maintain datasets, data flows, and pipelines in Azure Data Factory Develop and maintain DevOps pipelines and work with various database technologies Required Qualifications Deep experience with data engineering, ETL, and ELT processes Proficiency in Azure Data Factory, Databricks, Python, and SQL Experience with Synapse DB and Mongo / Cosmos DB Azure cloud certifications or relevant experience Familiarity with AKS (Azure Kubernetes Service) and ETL related to containerized applications
VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building and maintaining datasets and pipelines in Azure Data Factory while developing DevOps pipelines.
VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building datasets and pipelines in Azure Data Factory and requires expertise in data engineering and cloud technologies.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role. The position involves managing data and cloud responsibilities, building datasets, and developing DevOps pipelines.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role in Seattle, Washington. The ideal candidate will manage data responsibilities and develop data pipelines using Azure technologies.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role. The position involves managing data responsibilities and developing data pipelines in Azure.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role. The ideal candidate will manage data responsibilities and develop data pipelines in Azure.
VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building and maintaining datasets and pipelines in Azure Data Factory while developing DevOps pipelines.
VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building datasets and pipelines in Azure Data Factory and requires expertise in data engineering and cloud technologies.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role. The position involves managing data and cloud responsibilities, building datasets, and developing DevOps pipelines.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role in Seattle, Washington. The ideal candidate will manage data responsibilities and develop data pipelines using Azure technologies.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role. The position involves managing data responsibilities and developing data pipelines in Azure.
VirtualVocations is seeking an Azure Cloud Data Engineer for a fully remote contract role. The ideal candidate will manage data responsibilities and develop data pipelines in Azure.
VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building and maintaining datasets and pipelines in Azure Data Factory while developing DevOps pipelines.
VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building datasets and pipelines in Azure Data Factory and requires expertise in data engineering and cloud technologies.
VirtualVocations is seeking a fully remote Azure Cloud Data Engineer to manage data and cloud responsibilities. The role involves building and maintaining datasets and pipelines in Azure Data Factory while developing DevOps pipelines.