Summary: Seeking a proactive and skilled Senior Data DevOps Engineer specializing in Google Cloud Platform (GCP) to design, deploy, and optimize cloud-based data systems and workflows. Highlights: 1. Design cloud data infrastructure using GCP services 2. Deploy Infrastructure as Code (IaC) solutions with Terraform 3. Optimize performance and reliability of data platforms We are seeking a proactive and skilled **Senior Data DevOps Engineer** specializing in Google Cloud Platform (GCP) to join our expanding team. This role is ideal for professionals with hands\-on experience in cloud\-based data systems, infrastructure automation, and optimizing data workflows. Familiarity with AWS or Azure is a plus, but not mandatory. **Responsibilities** * Design cloud data infrastructure by utilizing GCP services such as DataFlow, GCS, BigQuery, Dataproc, and Cloud Composer * Deploy Infrastructure as Code (IaC) solutions using tools like Terraform for automated provisioning and monitoring * Collaborate with data engineering teams to create efficient and automated workflows with Python * Set up CI/CD pipelines with tools like Jenkins, GitLab CI, or GitHub Actions for seamless deployment processes * Optimize performance and enhance the reliability of data platforms in coordination with cross\-functional teams * Configure cloud\-based data tools such as Apache Spark, Apache Kafka, and Apache Airflow * Resolve reliability and scalability concerns in cloud\-based data systems **Requirements** * 3\+ years of experience in cloud environments focusing on GCP services including BigQuery, Cloud Composer, and Dataproc * Proficiency in Python paired with competency in SQL for managing data pipelines * Knowledge of IaC tools like Terraform or CloudFormation for infrastructure automation * Skills in integrating CI/CD pipelines with tools like Jenkins, GitHub Actions, or GitLab CI * Background in Linux\-based operating systems and shell scripting * Understanding of network protocols such as TCP/IP, DNS, and NAT * Competency in tools like Apache Spark, Apache Airflow, or ELK Stack **Nice to have** * Familiarity with AWS or Azure services like ECS, S3, Data Lake, or Synapse * Flexibility to utilize additional IaC tools like Ansible * Showcase expertise with alternate data workflow automation tools