Apache Airflow is a platform for developing, scheduling, and monitoring workflows. This recipe provides instant access to Airflow for building data pipelines, ETL processes, and workflow automation.
Every EasyEnv recipe spins up in seconds on a real Linux VM-not a stripped-down sandbox. The Airflow recipe is provisioned by an open Ansible role, so the machine that boots for you is reproducible, inspectable, and matches what you would get in production.
$ easyenv workspace create --recipe airflow --name airflow-demo
Provisioning Airflow...
Workspace ready in ~45s
$ easyenv workspace ssh airflow-demo
Connected. You're on the machine.Stop guessing from resumes. Drop candidates into a real Airflow workspace, watch them debug, deploy and operate it, score the result automatically, and replay the session. We also evaluate how they work with AI.
Builds and maintains data pipelines, ETL processes, and data infrastructure for analytics
Develops and deploys machine learning models and AI systems for production environments
Develops backend services, APIs, and scripts using Python frameworks like Django, Flask, or FastAPI
VS CodeData engineering and workflow orchestration platform with Airflow and Python
Machine learning and data science environment
