Job Description
Job Description :
We are looking for an experienced Software Engineer GCP to design, build, and manage scalable cloud-based data and infrastructure solutions on Google Cloud Platform. The ideal candidate will possess strong expertise in GCP services, Infrastructure as Code (IaC), data engineering, and cloud automation, with a focus on delivering secure, reliable, and high-performance solutions.
Key Responsibilities :
- Design, develop, and maintain scalable cloud-native solutions on Google Cloud Platform (GCP).
- Build and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
- Develop and optimize data pipelines, ETL/ELT workflows, and data processing solutions for large-scale datasets.
- Implement and manage data storage, transformation, and analytics solutions using BigQuery and other GCP data services.
- Automate infrastructure provisioning, deployment, monitoring, and operational processes.
- Collaborate with application, data, DevOps, and business teams to deliver cloud-based solutions aligned with business requirements.
- Design secure, resilient, and cost-effective cloud architectures following GCP best practices.
- Monitor and optimize cloud resource utilization, performance, scalability, and operational costs.
- Implement CI/CD pipelines and support automated deployments across environments.
- Troubleshoot and resolve cloud infrastructure, networking, and data platform issues.
- Ensure compliance with security, governance, and operational standards.
- Maintain technical documentation, architecture diagrams, and operational runbooks.
Required Skills & Experience :
- 7-10 years of experience in Cloud Engineering, Data Engineering, Platform Engineering, or related roles.
- Strong hands-on expertise with Google Cloud Platform (GCP).
- Experience with key GCP services such as :
1. BigQuery
2. Cloud Storage
3. Cloud Functions
4. Dataflow
5. Pub/Sub
6. Cloud Composer
7. Compute Engine
8. GKE (preferred)
- Strong proficiency in Terraform and Infrastructure as Code (IaC).
- Advanced SQL skills with experience in data modeling, query optimization, and large-scale data processing.
- Experience building and maintaining ETL/ELT and data integration pipelines.
- Strong understanding of cloud networking, security, identity management, and access controls.
- Experience with Git, CI/CD pipelines, and DevOps practices.
- Familiarity with Linux/Unix environments and scripting languages such as Bash or Python.
- Strong analytical, troubleshooting, and problem-solving skills.
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