




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 to deliver reliable solutions. Highlights: 1. Lead cloud infrastructure and data workflow automation on GCP 2. Develop cloud data infrastructure leveraging GCP services like DataFlow and GCS 3. Implement Infrastructure as Code (Terraform) and build automated workflows 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


