Key Responsibilities :

- Manage, optimize, and maintain cloud environments across AWS and Azure.

- Handle end-to-end application deployments using CI/CD pipelines in GitHub and Azure DevOps.

- Monitor and maintain Snowflake data warehouse integrations and data pipelines.

- Develop, enhance, and troubleshoot Snowflake stored procedures for data processing and analytics workflows.

- Ensure cloud workloads meet cost optimization, scalability, and high availability criteria.

- Collaborate with cross-functional teams to support application, data, and infrastructure needs.

- Implement and enforce cloud security best practices and IAM policies.

Required Skills & Qualifications :

- 4-7 years of professional experience in cloud engineering, DevOps, or data engineering roles.

- Strong hands-on experience with AWS services: ECS, Lambda, CloudWatch, RDS, IAM, S3.

- Working knowledge of Azure: Resource Groups, App Services, Storage Accounts, DevOps pipelines.

- Expertise in Snowflake - including data management, performance tuning, integrations, and security.

- Proficiency with CI/CD tools, especially GitHub Actions and Azure DevOps.

- Strong ability to write, optimize, and debug Snowflake stored procedures.

- Excellent analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications :

- Experience with Infrastructure as Code tools (Terraform, CloudFormation).

- Familiarity with Python or SQL for automation and data tasks.

- Experience with multi-cloud cost management or monitoring tool