Overview
On Site
Depends on Experience
Full Time
Skills
ADF
ARM
Analytical Skill
Analytics
Apache Hive
Apache Spark
Attention To Detail
Cloud Architecture
Cloud Computing
Collaboration
Communication
Computer Networking
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Analysis
Data Engineering
Data Lake
Database
Databricks
DevOps
IaaS
Java
Management
Microsoft Azure
Problem Solving
Provisioning
PySpark
Python
SAN
SQL
SQL Azure
Scala
Scripting
Storage
Terraform
Virtual Machines
Windows PowerShell
Job Details
Job Description
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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.