Summary: Join our team as a Senior Data DevOps Engineer specializing in Google Cloud Platform to lead cloud infrastructure and data workflow automation, optimizing cloud-based data systems and collaborating across teams. Highlights: 1. Lead cloud infrastructure and data workflow automation on GCP 2. Optimize cloud-based data systems and deliver reliable solutions 3. Work on impactful cloud data projects Join our team as a Senior Data DevOps Engineer specializing in Google Cloud Platform to lead cloud infrastructure and data workflow automation. You will play a key role in optimizing cloud\-based data systems and collaborating across teams to deliver reliable solutions. Apply now to work on impactful cloud data projects. **Responsibilities** * Develop cloud data infrastructure leveraging GCP services including DataFlow, GCS, and Dataproc * Implement Infrastructure as Code solutions using Terraform for automated deployment and system monitoring * Partner with data engineering teams to build efficient automated workflows in Python * Create and maintain CI/CD pipelines with Jenkins, GitLab CI, or GitHub Actions for continuous integration and delivery * Improve the stability and efficiency of data platforms by working closely with stakeholders * Set up and manage cloud\-based data tools like Apache Spark, Kafka, and Apache Airflow * Address and fix performance and scalability issues in cloud data environments **Requirements** * At least 3 years of hands\-on experience with GCP cloud services such as BigQuery and Cloud Composer * Strong Python skills combined with solid SQL knowledge to handle data pipelines * Experience with IaC tools like Terraform or CloudFormation for infrastructure automation * Familiarity with CI/CD tools including Jenkins, GitHub Actions, or GitLab CI * Background in Linux systems and shell scripting * Good understanding of network protocols such as TCP/IP, DNS, and NAT * Experience with data tools such as Apache Spark, Apache Airflow, or ELK Stack **Nice to have** * Knowledge of AWS or Azure cloud platforms including services like ECS, S3, or Synapse * Ability to use other Infrastructure as Code tools such as Ansible * Experience with other data pipeline automation tools