Description

Build and maintain Azure cloud infrastructure, data platforms, and automation pipelines to support enterprise-scale analytics and operations.

This role is hybrid.

Responsibilities

• Deploy and configure Azure infrastructure including Data Factory, storage, key vaults, networking, and VMs using Infrastructure as Code.
• Design and implement scalable data platforms using Databricks, Snowflake, and Synapse.
• Automate CI/CD pipelines and deployment processes using GitHub and Azure DevOps.
• Monitor cloud resources, troubleshoot performance and connectivity issues, and execute cost-saving strategies.
• Resolve system outages and support production environments while driving SRE best practices.

Required Skills

• 5+ years of Cloud Platform Engineering or DevOps experience in enterprise environments.
• Advanced proficiency with Python, SQL, PowerShell, and Bash.
• Hands-on experience with Azure services: Data Factory, Key Vault, Networking, Functions, Event Hubs, and CosmosDB.
• Strong expertise in Infrastructure as Code using Bicep or Terraform.
• Proficiency with GitHub for version control and Azure DevOps for pipeline management.
• Experience managing cloud-based data platforms like Databricks and Snowflake.
• Knowledge of containerization, serverless computing, and data lake architectures.
• Ability to lead end-to-end design of scalable services and provide production support.

Preferred Skills

• Bachelor's degree in Computer Science or equivalent experience.
• Cloud certifications such as Azure Administrator, Solution Architect, Databricks Platform Administrator, or SnowPro.
• Experience with Azure cost management, forecasting, and Windows/Linux system administration.

Key Skills

Education

Any Graduate