Responsibilities:

• Design, implement, and manage scalable cloud infrastructure using Microsoft Azure and utilize Terraform for infrastructure as code (IaC).
• Develop and optimize ETL data pipelines and workflows using Azure Data Integration and Databricks, ensuring robust data architecture with Azure Data Lake.
• Write, optimize, and maintain Python code for data processing and cloud automation tasks.
• Implement and manage CI/CD pipelines using Azure DevOps to ensure reliable deployment of applications and services.
• Integrate various Azure services, such as Azure AD and Azure Monitor, and develop and manage Restful APIs for seamless service integration.
• Implement monitoring and alerting solutions using Azure Monitor, performing ongoing performance tuning, troubleshooting, and resource optimization.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality cloud and data solutions.
• Implement identity and access management (IAM) using Azure AD, explore and implement Generative AI (GenAI) models, and note that experience in React and AWS is a plus.

Qualifications:

• A minimum of three years of cloud engineering experience
• Bachelor's degree in computer science, Information Technology, or a related field.
• Proven experience in Cloud and Data Engineering.
• In-depth knowledge of Microsoft Azure, including Azure DevOps, DataBricks, Azure AD, and related services.
• Strong understanding of CI/CD practices and Terraform for infrastructure automation.
• Strong technical, analytical, problem solving and verbal and written communication skills
• Willingness to travel up to 80 percent of the time
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)