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Azure Cloud Engineer Lakehouse / Databricks - Reliance Management Services
Devops Engineer
Design, implement, and maintain Azure‑hosted data lakehouse and analytics pipelines using Databricks, ensuring reliability, security, and performance for radiology imaging data.
About the role
Key Responsibilities
- Own the end‑to‑end operation of the Azure data lakehouse, including provisioning, monitoring, and performance tuning.
- Develop, deploy, and maintain data pipelines and analytics workloads on Azure Databricks.
- Implement security best practices, access controls, and compliance measures for all cloud resources.
- Automate infrastructure provisioning and configuration using IaC tools and CI/CD pipelines.
- Collaborate with data scientists, analysts, and clinical teams to translate requirements into scalable cloud solutions.
Requirements
- 3+ years of hands‑on experience with Microsoft Azure services, especially Azure Data Lake Storage and Azure Databricks.
- Strong proficiency in SQL and Python for data transformation and analytics.
- Experience with infrastructure‑as‑code (e.g., Terraform, ARM templates) and CI/CD automation.
- Solid understanding of cloud security, networking, and cost‑optimization strategies.
- Excellent problem‑solving skills and ability to work in a fast‑paced, cross‑functional environment.