Cloud Platform Support Engineer
hace 1 semana
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About usFor 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 RoleAs 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.
- Minimum of 3 years of support experience with GCP, emphasizing 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 like Docker.
- Hands-on experience with automation tools such as Git, GitHub Actions, and PySpark.
- Familiarity with GCP Console and command-line tools.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to handle client queries effectively.
- Experience owning complex technical issues from start to resolution.
- Self-motivated learner capable of quickly adapting to new technologies.
- Professional Data Engineer
Additional experience with third-party data platform tools like Colibra, understanding of Microsoft Identity Manager (MIM), automation of environment setup through IaC, and the ability to work in a fast-paced, client-facing environment are preferred.
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