Requirements

Expected technologies

GCP

Docker

Python

Java

Operating system

Windows

macOS

Linux

Our requirements

• availability to work in US time zone (until 10:00/11:00 pm CET),
• 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 such as 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,
• 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,
• very good verbal and written communication skills in English,
• work from the European Union region and a work permit are required.

Optional

• Associate Cloud Engineer Certification,
• Professional Data Engineer Certification,
• experience with third-party tools commonly used in data platforms, such as Colibra,
• understanding of Microsoft Identity Manager (MIM) for permission-related troubleshooting,
• experience with automation of environment setup through infrastructure as code (IaC).

Your responsibilities

• troubleshooting and resolving complex issues related to clients’ data platform components, including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, and GCS,
• supporting compute infrastructure needs for client users, including containerization, environment setup, and dependency management,
• diagnosing and resolving integration and configuration issues,
• configuring and optimizing batch processing environments tailored to specific client workload demands,
• automating environment setup and management through infrastructure as code (IaC),
• assisting client users with integration issues between platforms and enterprise tools like Microsoft Identity Manager and Colibra,
• collaborating with cross-functional teams to ensure successful issue resolution for our clients.