| azure |
en |
7 |
6 |
Cloud Providers such as Azure and AWS |
| azure ml databricks |
en |
1 |
1 |
Expertise in working with cloud environments (e.g., Azure ML, Databricks) and managing production deployments. |
| azure ml |
en |
1 |
1 |
Expertise in working with cloud environments (e.g., Azure ML, Databricks) and managing production deployments. |
| azure is preferred |
en |
1 |
1 |
A minimum of 5 years of Cloud Infrastructure experience, with at least 3 years of hands-on experience working on GCP. Hands-on experience with AWS or Azure is preferred. |
| ms azure cloud infrastructure |
en |
1 |
1 |
Minimum 2+ years of testing, automation and support experience in analytics applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft ... |
| ci tools like jenkins azure devops |
en |
1 |
1 |
Experience using CI tools like Jenkins, Azure DevOps or equivalent |
| azure devops |
en |
1 |
1 |
Experience using CI tools like Jenkins, Azure DevOps or equivalent |
| togaf azure/google architecture expert |
en |
1 |
1 |
Certifications such as TOGAF, Azure/Google architecture expert |
| azure security engineer |
en |
1 |
1 |
CISSP, CSSLP, CCSP, SABSA, AWS Security Specialty, Azure Security Engineer, or equivalent certification preferred. |
| ms azure |
en |
1 |
1 |
Experience with Microsoft Azure (storage accounts, service principal, Azure Data Factory and active directory) |
| azure is a big |
en |
1 |
1 |
Well-versed in cloud computing. Prior experience with Azure is a big plus." |