Senior Data Engineer (GCP)

Role Summary

Provide L3 technical ownership for Google Cloud Platform (GCP) environments, focusing on complex incident resolution, root cause analysis, production stability, performance optimization, and technical guidance for L1/L2 teams. The role requires strong hands-on GCP engineering experience, cloud operations mindset, and the ability to coordinate with client stakeholders and cross-functional teams.

Good English (communication smoothly)

Working mode: WFO / Hybrid depending on project arrangement

Key Responsibilities

• Own and resolve complex L3 production incidents across GCP services, data platforms, integrations, and cloud infrastructure.
• Perform deep root cause analysis (RCA) and drive permanent fixes for recurring issues.
• Review and improve cloud architecture, operational runbooks, monitoring, alerting, and incident response processes.
• Troubleshoot performance, reliability, networking, IAM, deployment, and service availability issues.
• Support release/deployment activities and provide technical validation for production changes.
• Guide L1/L2 support teams on escalation handling, investigation approach, and knowledge transfer.
• Collaborate with application, data, DevOps, security, and client teams to resolve cross-system issues.
• Maintain technical documentation, KB articles, RCA reports, and operational improvement plans.

Required Skills & Experience

• Strong hands-on experience with Google Cloud Platform (GCP) in production environments.
• Solid knowledge of core GCP services such as Compute Engine, GKE, Cloud Run, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Dataflow, Cloud Composer, Cloud SQL, and VPC networking.
• Experience troubleshooting IAM, service accounts, networking, firewall rules, load balancing, DNS, logging, monitoring, and quota/resource issues.
• Strong scripting and automation skills using Python, Bash, Terraform, or similar tools.
• Experience with CI/CD pipelines, cloud deployments, rollback handling, and release support.
• Familiarity with observability tools such as Google Cloud Monitoring, Cloud Logging, Dynatrace, Grafana, or Prometheus.
• Strong understanding of production support processes, SLA management, incident/problem/change management.
• Ability to analyze logs, metrics, traces, and system behavior to identify root causes.
• Good English communication skills; able to discuss technical topics directly with client stakeholders.

Preferred Skills

• GCP certification such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Data Engineer.
• Experience with Kubernetes/GKE, containerized workloads, and microservices operations.
• Experience in data engineering platforms using BigQuery, Dataflow, Dataproc, Composer/Airflow, or dbt.
• Knowledge of security best practices: IAM least privilege, secret management, encryption, audit logging, and compliance controls.
• Experience working in retail, supply chain, warehouse, or enterprise integration systems.

Qualifications

• 5+ years of IT experience, including 3+ years working hands-on with GCP production systems.
• Proven experience in L3 support, cloud operations, SRE, DevOps, or platform engineering roles.
• Strong analytical mindset and ability to work under pressure during critical incidents.
• Clear communication, ownership mindset, and ability to coordinate across multiple teams.
• Experience working with ticketing tools such as ServiceNow, Jira, or equivalent.

Expected Outcomes

• Faster resolution of critical GCP production incidents.
• Reduced recurring issues through RCA and permanent corrective actions.
• Improved system reliability, monitoring coverage, and operational documentation.
• Better enablement for L1/L2 teams through knowledge sharing and runbook improvement.