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# Senior Data Engineer - GCP

- **Company:** Capgemini
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Bash Shell, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Continuous Integration, Software Design Patterns, DevOps, Data Flow Control, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Linux System Administration, Uptime, Peering, Site Reliability Engineering Practices, Cloud Services, Prometheus, Data Logging, Google Cloud, Load Balancing, Cloud Monitoring, Grafana, Mttr, Build Server, Amazon Virtual Private Cloud (VPC), Gitlab, Kubernetes, Deployment Automation, Cloud Optimization, Terraform, Serverless Computing
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=54f9f03cfec0fc88

## About the Role

* GCP architecture & cloud design
 * Kubernetes (GKE) & container orchestration
 * Terraform, Helm, IaC design patterns
 * GCP networking (VPC, peering, LB, Cloud NAT)
 * GCP IAM, security, encryption, VPC SC
 * Linux administration & Python/Bash scripting
 * CI/CD pipelines (Cloud Build, GitHub Actions, GitLab)
 * Monitoring & observability (Cloud Monitoring, Prometheus)
 * Cloud cost optimization & FinOps fundamentals
 * Understanding of SRE practices (SLO/SLI/SLA)
 * Knowledge of event-driven & serverless architectures
 * Tools / Tech Stack
GKE, GCE, Cloud Run, Cloud Functions, Cloud SQL, BigQuery, Pub/Sub, Dataflow, Cloud Storage, IAM, Secret Manager, VPC, Load Balancers, Terraform, Cloud Build, Artifact Registry, Prometheus/Grafana, Bash/Python.
KPIs

 * Uptime & SLO compliance
 * MTTR reduction'

## Description

We are looking for a Senior Data Engineer to design, automate, secure, and optimize cloud solutions on Google Cloud Platform, working closely with engineering, DevOps, and security teams to ensure scalable, cost efficient, and resilient cloud environments., * Architect and implement compute, storage, networking, and container workloads on GCP.

 * Automate provisioning and deployments using Terraform and CI/CD.
 * Implement IAM, service accounts, and security controls.
 * Build monitoring, logging, tracing, and alerting solutions.
 * Optimize scaling, performance, and cloud costs.
 * Support workload migration and modernization initiatives. Troubleshoot cloud issues and perform root cause analysis.
*


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