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 and optimize cloud data infrastructure using GCP services 2. Deploy Infrastructure as Code (IaC) solutions with Terraform 3. Collaborate with data engineering teams on efficient Python workflows 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