
Required Qualifications
10+ years of experience in infrastructure engineering with exposure to data engineering and data pipelines
Strong experience with Linux systems and Docker-based deployments
Hands-on experience with Kubernetes in production environments
Proficiency with Python and working knowledge of RDBMS and data lakehouse architectures
Experience with streaming/messaging systems such as Kafka and RabbitMQ
Expertise in log processing and monitoring tools including Logstash and Grok
Experience building CI/CD pipelines using GitHub and GitHub Actions
Solid experience working within Google Cloud Platform (Google Cloud Platform)