Azure Kubernetes Engineer

Description

8+years of experience required.
Implement Azure-based data solutions.
You will be part of use case teams in designing and implementing data & AI solutions on the big data platform.
Experience with Azure SQL and cloud data solutions such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage Gen1/2, Azure ML, Azure Kubernetes.
Good skills in Infrastructure as Code (IaaC) development using PowerShell / ARM Templates, Azure DevOps (Build Pipelines, Release Pipelines) and Ansible.
As part of your Azure Kubernetes responsibilities, you’ll act as one of our Azure Kubernetes experts and work on enabling containerization of machine learning models and influence containerized app development and setting up CI/CD for Kubernetes workflows.
Implement real-time container monitoring leveraging App telemetry, log analytics with Azure Monitor.
Experience mentoring and leading other data/analytics developers.
Strong aptitude and experience with SQL queries and data manipulation with Python and/or R.
Skilled in using vital tools like Docker.
Ideally good knowledge of IT acquired in various positions (requirements engineering, consulting, development, etc.) and therefore an in-depth knowledge of the processes in software development (agile project methodology, object orientation, etc.)