Summary: Lead Data DevOps Engineer with expertise in Google Cloud Platform to automate cloud data workflows and infrastructure, optimize data platforms, and ensure reliable delivery. Highlights: 1. Lead efforts to optimize data platforms and ensure reliable delivery 2. Design and build cloud data infrastructure leveraging GCP services 3. Work with data engineering teams to create automated data workflows We invite you to join as a Lead Data DevOps Engineer with expertise in Google Cloud Platform, focusing on automating cloud data workflows and infrastructure. You will lead efforts to optimize our data platforms and ensure reliable delivery. Apply now to impact our cloud data environments. **Responsibilities** * Design and build cloud data infrastructure leveraging GCP services including DataFlow, GCS, BigQuery, Dataproc, and Cloud Composer * Use Infrastructure as Code tools like Terraform to deploy and monitor environments * Work with data engineering teams to create automated data workflows using Python * Develop CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions to support continuous delivery * Collaborate with teams to optimize performance and enhance reliability of data platforms * Maintain cloud\-based tools such as Apache Spark, Apache Kafka, and Apache Airflow * Analyze and troubleshoot issues to maintain scalable and dependable cloud data systems **Requirements** * 5\+ years of experience in cloud environments focusing on GCP services like BigQuery, Cloud Composer, and Dataproc * Proficient in Python and SQL for developing data pipelines * Knowledge of Infrastructure as Code tools including Terraform or CloudFormation * Experience in building CI/CD pipelines with Jenkins, GitHub Actions, or GitLab CI * Background in Linux systems and shell scripting * Understanding of network concepts such as TCP/IP, DNS, and NAT * Familiarity with Apache Spark, Apache Airflow, or ELK Stack **Nice to have** * Experience with AWS or Azure platforms, including ECS, S3, Data Lake, or Synapse * Flexibility with IaC tools such as Ansible * Experience using alternative data workflow automation tools