Summary: Join our team as a Lead Data DevOps Engineer specializing in Google Cloud Platform to build scalable data systems, streamline deployment pipelines, and contribute to data platform excellence. Highlights: 1. Lead data DevOps on GCP, focusing on cloud data infrastructure and automation 2. Build scalable data systems and streamline deployment pipelines 3. Collaborate across teams to enhance data platform reliability and performance Join our team as a Lead Data DevOps Engineer specializing in Google Cloud Platform, focusing on cloud\-based data infrastructure and automation. You will take charge of building scalable data systems and streamlining deployment pipelines. Apply now to become a key contributor to our data platform excellence. **Responsibilities** * Create and maintain cloud data architectures using GCP services like DataFlow, GCS, BigQuery, Dataproc, and Cloud Composer * Implement infrastructure provisioning and monitoring via IaC tools such as Terraform * Partner with data engineers to develop automated, efficient data workflows using Python * Configure CI/CD pipelines with Jenkins, GitLab CI, or GitHub Actions for seamless deployment * Collaborate with multiple teams to enhance the reliability and performance of data platforms * Support management of cloud data tools including Apache Spark, Apache Kafka, and Apache Airflow * Diagnose and fix problems to maintain scalable and reliable cloud data environments **Requirements** * Minimum 5 years experience working in cloud environments, particularly with GCP services like BigQuery, Cloud Composer, and Dataproc * Advanced Python skills combined with SQL expertise for data pipeline construction * Knowledge of IaC solutions such as Terraform or AWS CloudFormation * Experience in creating CI/CD workflows with Jenkins, GitHub Actions, or GitLab CI * Background in Linux systems and shell scripting * Understanding of networking principles such as TCP/IP, DNS, and NAT * Proven skills in operating Apache Spark, Apache Airflow, or ELK Stack **Nice to have** * Hands\-on familiarity with AWS or Azure services including ECS, S3, Data Lake, or Synapse * Capability to use additional IaC tools like Ansible * Experience with other data workflow automation technologies