Senior GCP Support Engineer | Looker | Big Query | Data Analytics (TSR

Role & responsibilities

• Support and troubleshoot Looker and GCP Data Analytics services.
• Manage production incidents, RCA, and stakeholder communication.
• Monitor platform health using Cloud Monitoring and Logging.
• Resolve data pipeline, performance, and quota-related issues.
• Administer IAM, VPC, Storage, and GCP projects.
• Automate operational tasks using Python, SQL, and Shell scripting.
• Collaborate with engineering teams on fixes, deployments, and platform improvements.
• Provide L2/L3 support for cloud infrastructure and analytics workloads.

Preferred candidate profile

• 6 to 8 years of experience in Google Cloud Platform (GCP) support, cloud operations, or production support environments.
• Hands-on expertise in Looker Studio, Looker Original, Looker Pro, and Looker Cloud with strong troubleshooting capabilities.
• Strong exposure to Big Query, Cloud Storage, Composer (Airflow), Dataflow, and Pub/Sub services.
• Proven experience in managing and resolving production incidents, service disruptions, data pipeline failures, latency issues, and quota-related challenges.
• Good understanding of IAM, VPC, networking concepts, storage services, project setup, and security best practices within GCP.
• Experience using Cloud Logging, Cloud Monitoring, and observability tools for issue detection, diagnosis, and performance monitoring.
• Strong scripting and automation skills using Python, SQL, and Shell Scripting.
• Familiarity with Git, CI/CD pipelines, Infrastructure as Code (IaC), and DevOps practices.
• Ability to perform Root Cause Analysis (RCA) and implement preventive measures to improve platform reliability.
• Experience supporting customer-facing environments with excellent troubleshooting and communication skills.
• Strong stakeholder management skills with the ability to explain technical issues to both technical and non-technical audiences.
• Exposure to cloud infrastructure provisioning, configuration, and decommissioning activities.
• Preferred candidates will have experience in L2/L3 Support, Cloud Operations, SRE, Data Platform Support, or Cloud Support Engineering roles.