Frontend Engineer

Corporate Business Solutions; Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Join a leading digital consulting firm as a Cloud Platform Support Engineer. You will leverage your expertise in Google Cloud to support clients' data infrastructure, troubleshoot complex issues, and collaborate with cross-functional teams. Ideal for a technical expert eager to thrive in a dynamic environment.

Formación

• 3+ years of support experience with GCP, emphasizing troubleshooting.
• Strong understanding of Google services like BigQuery and Dataflow.

Responsabilidades

• Troubleshoot and resolve issues related to Data Platform components.
• Support compute infrastructure needs for client users.

Conocimientos

Troubleshooting

Problem Solving

Communication

Adaptability

Educación

Professional Data Engineer Certification

Herramientas

Docker

Git

GitHub Actions

PySpark

Descripción del empleo

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, fueling 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 ideal 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 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

• Professional Data Engineer Certification.
• Experience with third-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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