Job Description

Job Title: Cloud Data Platform Engineer (EL3)- Infosys

Location: Minnesota (Onsite)

Duration: 12+ Months

Role: Cloud Data Platform Engineer (EL3)

Position Overview:

We are seeking a highly skilled Cloud Data Platform Engineer with over 5 years of hands-on experience in setting up and managing Cloud Data Platform infrastructure for Azure Cloud Data Stacks and Snowflake. The ideal candidate will also have a strong background in configuring and implementing DevOps pipelines using GitActions CI/CD and Terraform.

Key Responsibilities:

• Design, implement, and manage Cloud Data Platform infrastructure for Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), and Blob Storage.
• Configure and optimize Snowflake data warehouse solutions to meet business requirements.
• Develop and maintain CI/CD pipelines using GitActions to ensure seamless integration and deployment processes.
• Utilize Terraform for infrastructure as code (IaC) to automate and manage cloud resources.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable, reliable cloud solutions.
• Monitor and troubleshoot Cloud Data Platform infrastructure to ensure high availability and performance.
• Implement security best practices to safeguard data and cloud resources.

Qualifications:

• 5+ years of hands-on experience in setting up and managing Cloud Data Platform infrastructure for Azure Cloud Data Stacks (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage).
• Strong expertise in Snowflake configuration and optimization.
• Hands-on experience with DevOps tools and practices, including GitActions CI/CD and Terraform.
• Solid understanding of cloud architecture and infrastructure as code (IaC) principles.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication and collaboration skills.

Preferred Skills:

• Experience with setting up, configuring, and optimizing Databricks for data engineering and analytics workloads.
• Experience with other cloud platforms and data solutions.
• Knowledge of data governance and compliance standards.
• Familiarity with containerization technologies such as Docker and Kubernetes.

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