Lead Data DevOps Engineer

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