Job Description

Job Title: JAVA Snowflake Support Engineer

Job Location: Canada (Remote)

Mode: Contract

We are looking for a highly skilled Support Engineer with expertise in Java, Splunk, Snowflake, Databricks, Control-M, data storage, Azure, Kubernetes, Docker, and Azure Pipeline. This role involves troubleshooting and maintaining enterprise systems, ensuring high availability, and optimizing performance across cloud and containerized environments, while also supporting CI/CD automation workflows using Azure Pipeline.

Key Responsibilities:

• Provide technical support for applications and infrastructure utilizing Java, Splunk, Snowflake, Databricks, Control-M, data storage, Azure, Kubernetes, Docker, and Azure Pipeline.
• Monitor system health, investigate issues, and implement resolutions to ensure optimal performance.
• Manage and optimize Control-M job scheduling workflows to improve automation.
• Utilize Splunk for log analysis, alerting, and proactive monitoring.
• Support Snowflake and Databricks environments, ensuring data integrity and efficient data processing.
• Deploy, maintain, and troubleshoot applications within Azure cloud infrastructure.
• Configure and manage Kubernetes clusters for container orchestration and scalability.
• Work with Docker containers to support microservices architecture and software deployment.
• Manage and optimize CI/CD pipelines using Azure Pipeline for automated software deployments.
• Collaborate with development and operations teams to integrate CI/CD workflows and automate infrastructure provisioning.
• Maintain documentation for troubleshooting guides, support processes, and operational best practices.

Required Skills & Qualifications:

• Strong proficiency in Java development, debugging, and application support.
• Hands-on experience with Control-M for job scheduling and automation.
• Expertise in Splunk for log monitoring and analysis.
• Solid understanding of Snowflake and Databricks for data storage and processing.
• Experience with Azure cloud services, including deployment, networking, and security.
• Knowledge of Kubernetes for container orchestration and management.
• Proficiency in Docker for containerization and microservices deployment.
• Experience managing CI/CD workflows using Azure Pipeline.
• Strong troubleshooting and problem-solving skills in production environments.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Familiarity with CI/CD best practices and automation tools.
• Experience with cloud security and compliance best practices.
• Knowledge of scripting languages like Python or Bash for automation.
• Prior experience working in enterprise-scale environments.

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