An Airflow developer designs, codes, and manages workflows and data pipelines using Apache Airflow. They create robust, scalable, and reliable data solutions, ensuring data is ready for analysis. They are responsible for scheduling, monitoring, and debugging complex data pipelines. They also collaborate with data engineers and data scientists to understand data needs and implement solutions. Additionally, they work on optimizing data flow and collection to improve data quality and efficiency. Their work involves a strong understanding of data structures, data modeling, programming languages like Python, and ETL (Extract, Transform, Load) processes. They also need to maintain data documentation and ensure data privacy and security.