Job Description

Job Title: Cloud Platform Support Engineer

Location: Canada

Remote

As a Cloud Platform Support Engineer you will join our dynamic Engineering team to support our clients' data and compute infrastructure on GCP. This role is perfect for a technical expert who combines Google Cloud knowledge with hands-on troubleshooting experience, thriving in environments where adaptability and technical excellence are essential.

• Troubleshoot and resolve complex issues related to clients' Data Platform components, including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, and GCS.
• Support compute infrastructure needs for client users, including containerization, environment setup, and dependency management.
• Diagnose and resolve issues.
• Configure and optimize batch processing environments tailored to specific client workload demands.
• Automate environment setup and management through Infrastructure as Code (IaC).
• Assist client users with integration issues between platforms and enterprise tools like Microsoft Identity Manager and Colibra.
• Collaborate with cross-functional teams to ensure successful issue resolution for our clients.

Requirements:

Basics:

• 3+ years of support experience with GCP with emphasis on troubleshooting.
• Strong understanding of Google services, including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, GCS, monitoring, logging, VPC concepts, and networking.
• Proficiency in interpreting code written in Python, R, and Java.
• Experience with containerization technologies (Docker).
• Hands-on experience with automation tools like Git, GitHub Actions, and PySpark.
• Familiarity with GCP Console and command-line tools.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and ability to respond effectively to client users' queries.
• Experience taking ownership of complex technical issues from identification to resolution.
• Self-motivated learner with the ability to quickly adapt to new technologies.

Recommended:

• Associate Cloud Engineer Certification.
• Professional Data Engineer Certification.
• Experience with 3rd party tools commonly used in data platforms like Colibra.
• Understanding of Microsoft Identity Manager (MIM) for permission-related troubleshooting.
• Experience with automation of environment setup through Infrastructure as Code (IaC).
• Ability to work in a fast-paced consulting environment and under pressure.
• Strong collaboration skills and ability to work with minimal supervision at client sites.

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