Lead Data DevOps Engineer (GCP)

We are looking for a skilled **Lead Data DevOps Engineer** with expertise in Google Cloud Platform (GCP) to join our team. This role suits professionals with hands\-on experience in cloud\-based data systems, infrastructure automation, and optimizing data workflows. Familiarity with AWS or Azure is beneficial but not mandatory. **Responsibilities** * Design cloud data infrastructure using GCP services such as DataFlow, GCS, BigQuery, Dataproc, and Cloud Composer * Deploy infrastructure using IaC tools like Terraform to enable provisioning and monitoring * Work with data engineering teams to develop automated and efficient data workflows using Python * Set up CI/CD pipelines through tools such as Jenkins, GitLab CI, or GitHub Actions for streamlined deployments * Optimize performance and improve the reliability of data platforms by collaborating with cross\-functional teams * Maintain cloud\-based data tools including Apache Spark, Apache Kafka, and Apache Airflow * Analyze and resolve issues to ensure scalability and reliability of cloud\-based data systems **Requirements** * 5\+ years of experience in cloud environments, focusing on GCP services like BigQuery, Cloud Composer, and Dataproc * Proficiency in Python combined with competency in SQL for data pipeline development * Knowledge of IaC tools such as Terraform or CloudFormation for infrastructure automation * Skills in building 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 and concepts such as TCP/IP, DNS, and NAT * Competency in implementing tools like Apache Spark, Apache Airflow, or ELK Stack **Nice to have** * Familiarity with AWS or Azure, including ECS, S3, Data Lake, or Synapse * Flexibility to use IaC tools such as Ansible * Background showcasing experience with alternative data workflow automation tools