Description

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

Education

Any Gradute