One of our clients- a Top 5 Canadian Bank- is looking for 2 experienced Azure Cloud Engineers.

Role Overview

We are looking for two experienced Cloud Engineers to join a high-performing team focused on building and optimizing cloud-native data and analytics platforms. These roles will play a key part in designing, deploying, and managing scalable solutions using Azure services, Databricks, and Kubernetes, with a strong emphasis on automation and data governance.

Key Responsibilities

• Design, implement, and manage cloud infrastructure and data pipelines using Azure services.
• Develop and maintain scalable data solutions using Azure Databricks and Unity Catalog.
• Build and orchestrate data workflows using Azure Data Factory (ADF).
• Deploy and manage containerized applications using Azure Kubernetes Service (AKS).
• Write clean, efficient, and reusable code in Python for automation, data processing, and integration tasks.
• Collaborate with data engineers, architects, and DevOps teams to ensure seamless integration and deployment.
• Implement security, monitoring, and governance best practices across cloud environments.
• Troubleshoot and resolve issues related to cloud infrastructure, data pipelines, and application deployments.

Required Skills and Experience

• Strong hands-on experience with Microsoft Azure, including core services and networking.
• Proficiency in Azure Databricks, including cluster management, notebook development, and Delta Lake.
• Experience with Unity Catalog for data governance and access control.
• Solid understanding of Azure Data Factory for ETL/ELT pipeline development.
• Experience deploying and managing workloads on Azure Kubernetes Service (AKS).
• Strong programming skills in Python, especially for scripting, automation, and data manipulation.
• Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) tools is a plus.
• Excellent problem-solving skills and the ability to work in a collaborative, agile environment.

Preferred Qualifications

• Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer).
• Experience in financial services or other regulated industries.
• Familiarity with DevOps practices and tools (e.g., GitHub Actions, Terraform, Helm).
• Knowledge of data security, compliance, and governance frameworks.