Summary: Seeking a Senior Data DevOps Engineer with Google Cloud Platform expertise to design cloud data infrastructure, automate pipelines, and improve system reliability. Highlights: 1. Design and develop cloud data infrastructures using GCP services 2. Deploy Infrastructure as Code automation with Terraform 3. Optimize data platform performance and reliability Seeking a Senior Data DevOps Engineer with deep experience in Google Cloud Platform to join our team. Your focus will be on designing cloud data infrastructure, automating pipelines, and improving system reliability. Apply today to contribute to cutting\-edge cloud data technologies. **Responsibilities** * Design and develop cloud data infrastructures using GCP services such as DataFlow, BigQuery, and Dataproc * Deploy Infrastructure as Code automation with Terraform for scalable provisioning * Collaborate with data engineering teams to automate workflows with Python * Establish and manage CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions * Work with cross\-functional teams to optimize data platform performance and reliability * Configure cloud data processing tools including Apache Spark, Kafka, and Apache Airflow * Diagnose and solve reliability and scalability challenges in cloud data systems **Requirements** * Minimum of three years working with GCP services including BigQuery, Cloud Composer, and Dataproc * Expertise in Python and solid SQL skills for data pipeline management * Experience in Infrastructure as Code frameworks like Terraform or CloudFormation * Proficiency with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI * Strong Linux OS and shell scripting knowledge * Good grasp of network protocols including TCP/IP, DNS, and NAT * Experience with Apache Spark, Apache Airflow, or ELK Stack tools **Nice to have** * Familiarity with AWS or Azure cloud offerings like ECS, S3, Data Lake, or Synapse * Ability to use other IaC tools such as Ansible * Experience with alternative data automation technologies