Azure Cloud Engineer Jobs
By Elios Technologies Inc At Denver, CO, United States

Position: Sr. Cloud Data Engineer / Data Engineer Location: CO Denver (Hybrid - 2/3 Days Onsite) Duration: 12+ Months visa: Except OPT/CPT/H1 Any visa is fine. Primary Skills: Python, Cloud Data ...

Data Engineer (Aws, Azure, Gcp)
By CapTech At Denver, CO, United States
Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
Utilizing your skills in engineering best practices to solve complex data problems
Experience delivering solutions on a major cloud platform
Experience in the design and implementation of data architecture solutions
A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines
Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Are you looking for an exciting opportunity to work with the latest cloud technologies? We are looking for an experienced Azure Cloud Data Engineer to join our team and help us build and maintain our cloud-based data solutions. You will be responsible for designing, developing, and deploying data solutions to meet our business needs. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of engineers. If you are passionate about data engineering and cloud technologies, this is the perfect job for you!

Overview:

Azure Cloud Data Engineers are responsible for designing, developing, and maintaining data solutions on the Azure cloud platform. They work with a variety of data sources, including structured and unstructured data, to create data pipelines and data warehouses. They also develop and maintain data models and ETL processes, and ensure the security and scalability of the data solutions.

Detailed Job Description:

Azure Cloud Data Engineers are responsible for designing, developing, and maintaining data solutions on the Azure cloud platform. They work with a variety of data sources, including structured and unstructured data, to create data pipelines and data warehouses. They also develop and maintain data models and ETL processes, and ensure the security and scalability of the data solutions. They must be able to work with a variety of tools and technologies, including Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Cosmos DB, and Azure Machine Learning. They must also be able to work with scripting languages such as PowerShell and Python.

What is Azure Cloud Data Engineer Job Skills Required?

• Knowledge of Azure cloud platform and its components
• Knowledge of data modeling, ETL processes, and data warehousing
• Knowledge of scripting languages such as PowerShell and Python
• Knowledge of data security and scalability
• Ability to work with a variety of data sources
• Ability to troubleshoot and debug data solutions
• Ability to work independently and collaboratively

What is Azure Cloud Data Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Information Systems, or a related field
• 5+ years of experience in data engineering
• Experience with Azure cloud platform and its components
• Experience with data modeling, ETL processes, and data warehousing
• Experience with scripting languages such as PowerShell and Python
• Experience with data security and scalability
• Experience with a variety of data sources

What is Azure Cloud Data Engineer Job Knowledge?

Azure Cloud Data Engineers must have a thorough understanding of the Azure cloud platform and its components, as well as data modeling, ETL processes, and data warehousing. They must also be familiar with scripting languages such as PowerShell and Python, and have knowledge of data security and scalability.

What is Azure Cloud Data Engineer Job Experience?

Azure Cloud Data Engineers should have at least 5 years of experience in data engineering, as well as experience with the Azure cloud platform and its components, data modeling, ETL processes, and data warehousing. They should also have experience with scripting languages such as PowerShell and