Description
The role designs, develops, and maintains high-throughput data pipelines and data architectures; performs data modeling and schema design; implements automated testing, CI/CD, and Terraform infrastructure as code; collaborates with Data Science and AI teams on feature stores and MLOps pipelines; and monitors containerized environments using Kubernetes, Docker, and Airflow. The position requires at least four years of professional software engineering experience, deep data architecture expertise, Terraform proficiency, expert SQL skills, and strong communication abilities.
