Azure Cloud Data Engineer

Role Title: Azure Cloud Data Engineer
Location: Cary, NC
Duration: 6 Month Contract

Job Description:
" 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.
Role Descriptions:"" 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 Eligible to workimize 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.
Essential 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)