Seeking a Senior Azure Cloud Platform Engineer with experiencewith Geospatial platforms and Datalake
Job details
The Enterprise Analytics and Technology Services (EATS) section are looking for an Azure Cloud Platform Engineer who has experience in managing cloud hosted infrastructure using infrastructure as code in support of data and analytics workloads.
Key duties and responsibilities
1. Azure Cloud
1. Azure Databricks
2. Azure Data Factory
3. Azure Web Apps
4. Logic Apps
5. Networking
6. Identity and Access Management
7. Policy
8. Azure hosted Data and Analytics Platforms such as
9. Azure security features such as
- Infrastructure as Code
1. Terraform based infrastructure management
2. Azure DevOps CI/CD Pipelines
- Collaboration with stakeholders to gather requirements to design and implement Advanced Analytics and AI solutions.
- Experience in delivery and/or administration of Databricks, Microsoft Fabric or other analytical services.
- Desirable
1. Experience in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).
2.
Delivery and or administration experience with traditional data technology solutions
Essential criteria
- Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform and Software as a Service)
- Experience developing, implementing, and supporting cloud infrastructure using an infrastructure as code (IaC) approach
- Understanding of cloud security features for platforms and services such as Identity and Access Management, Networking and Policy
- Experience working in Data and Analytics focused projects (Data Engineering, Storage or Data Science)
- Working with multi-disciplinary teams using an Agile methodology -
Desirable criteria
- Experience work with Data Lake
- Experience working with Geospatial platforms