About us
For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do.
About the Role
As a Cloud Platform Support Engineer at Xebia, 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.
Responsibilities:
* 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.