Job description

Azure Cloud Data Engineer job at Purple Drive. Minneapolis, MN. Azure Cloud Data Engineer Roles & Responsibilities • We are seeking an experienced and motivated Azure Data Engineer to join our vibrant team. The successful candidate will play a crucial role in designing, implementing, and maintaining data pipelines, databases, and data analytics solutions on the Azure cloud platform. The role requires strong technical expertise in Azure services and a deep understanding of data engineering principles. The ideal candidate requires extensive experience in designing, deploying, and managing cloud-based solutions on Microsoft Azure. Work closely with our DevOps and security teams to create scalable, secure, and efficient cloud infrastructure that meets our business needs. Requirements: • 3+ years of experience in Azure cloud development and management. • Proficiency in Azure services such as Azure Virtual Machines, Azure Storage, and Azure Networking. • Experience with Infrastructure as Code tools like Azure Resource Manager (ARM) templates or Terraform. • Strong scripting skills in PowerShell, Python, or similar languages. • Understanding of DevOps practices and CI/CD pipelines. Responsibilities: • Design, develop, and maintain scalable and efficient data pipelines using Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics. • Design, implement, and manage cloud-based applications using Azure services. • Develop Infrastructure as Code to automate the provisioning and management of cloud resources. • Write and maintain scripts for automation and deployment. • Monitor and optimize cloud resources for performance and cost efficiency. • Collaborate with DevOps and security teams to ensure best practices in cloud architecture. • Troubleshoot and resolve issues related to Azure services and infrastructure. Must-Have Skills: • Strong knowledge of Azure services and cloud architecture. • Azure, Databricks, Azure Data Factory(ADF), Azure Synapse, Cloud Computing, Spark, PySpark, Python, Scala, Java, Hive, SQL. • Strong understanding of Azure data services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage. • Experience with Infrastructure as Code (e.g., ARM templates, Terraform). • Proficiency in scripting languages like PowerShell or Python. • Understanding of security best practices in the cloud. • Excellent problem-solving skills and attention to detail. • Azure certifications (e.g., AZ-104, AZ-303) are a plus Soft Skills: • Problem-Solving • Communication Skills • Analytical Thinking • Attention to Detail • Adaptability Hard Skills: • Azure Services (e.g., Virtual Machines, Storage, Networking) • Cloud Architecture • DevOps Practices • Scripting (e.g., PowerShell, Python) • Infrastructure Management (e.g., ARM templates, Terraform)

Requirements