We are looking for a highly skilled Senior GCP Data Engineer with expertise in Terraform Or Packer to design, develop, and optimize cloud-based data solutions. The ideal candidate will have hands-on experience managing infrastructure as code (IaC), automating deployments, and implementing scalable data solutions on Google Cloud Platform (GCP). Key Responsibilities - Design, deploy, and maintain scalable data infrastructure on GCP using Terraform Or Packer. - Build and optimize ETLELT pipelines using GCP services like BigQuery, Dataflow, and Cloud Composer. - Automate infrastructure provisioning, deployments, and updates using Terraform, Packer, and CICD tools. - Implement best practices for cloud security, access management, and compliance requirements. - Ensure system reliability and efficiency through proactive monitoring and troubleshooting. - Work closely with Data Engineers, DevOps, and cross-functional teams to optimize cloud and data solutions. Required Skills & Experience - 5+ years of experience in GCP cloud architecture, data engineering, and automation. - Expertise in Terraform Or Packer for infrastructure automation and image management. - Hands-on experience with BigQuery, Dataflow, Cloud Storage, PubSub, and Kubernetes (GKE). - Strong scripting skills in Python, Bash, or Go for automation. - Experience with CICD pipelines, Git, and Terraform modules. - Knowledge of IAM policies, security best practices, and cloud networking. Good to Have - Google Cloud Certifications (Professional Data Engineer or Cloud Architect). - Experience with additional IaC tools like Ansible or Pulumi. - Background in Machine Learning pipelines (TensorFlow, Vertex AI) is a plus.