Frameworkintermediate➡️ stable#37 in demand

Airflow

Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It allows data engineers and data scientists to define complex data pipelines as Directed Acyclic Graphs (DAGs) of tasks, making them reproducible, scalable, and maintainable.

Companies need Airflow now to orchestrate the complex, multi-step data pipelines required for modern AI/ML systems, including data ingestion, preprocessing, model training, and deployment. As organizations move from batch to real-time and hybrid data processing, Airflow's flexibility and extensive integration ecosystem make it a critical tool for managing data workflows at scale, especially with the rise of MLOps.

Companies hiring for this:
notionrampstripe
Prerequisites:
PythonBasic understanding of data pipelinesCommand-line/terminal familiaritySQL (for many common data workflow tasks)

🎓 Courses

📚Udemy (Marc Lamberti)

Apache Airflow: The Hands-On Guide

4.6-star rated by an Astronomer engineer — DAGs, operators, XComs, TaskFlow API. 80K+ students.

🔗Astronomer

Astronomer Academy

Free official tutorials from the Airflow company — best practices, scaling, troubleshooting.

🔗DataTalks.Club

Data Engineering Zoomcamp

Free — uses Airflow for orchestration in a complete data engineering pipeline. Project-based.

📖 Books

Data Pipelines with Apache Airflow

Bas Harenslak, Julian de Ruiter · 2021

Manning's definitive Airflow guide — DAGs, operators, sensors, testing, deployment. The best Airflow book.

Apache Airflow Best Practices

Various (Astronomer) · 2023

From the Airflow company — production patterns, scaling, monitoring, and common pitfalls.

Fundamentals of Data Engineering

Joe Reis, Matt Housley · 2022

O'Reilly — data engineering lifecycle where Airflow fits. Orchestration in context.

🛠️ Tutorials & Guides

Apache Airflow Documentation

The authoritative reference — concepts, tutorials, how-to guides, API reference.

Astronomer Guides

Production-focused guides — DAG writing, testing, CI/CD, Kubernetes executor.

Airflow TaskFlow API Tutorial

Modern Airflow — Python-native DAGs with decorators. The new way to write workflows.

Awesome Apache Airflow

Curated resources — plugins, operators, articles, talks. Community knowledge base.

Intro to SQL

Free — SQL skills for data pipeline queries. Airflow DAGs often orchestrate SQL transformations.

Advanced SQL

Free — window functions, CTEs, subqueries. Complex queries in your Airflow pipelines.

🏅 Certifications

Astronomer Certification for Apache Airflow

Astronomer · Free

Official Airflow certification from the company that maintains it — DAG authoring, best practices, deployment.

Databricks Certified Data Engineer Associate

Databricks · $200

Validates the data engineering pipeline skills that Airflow orchestrates — ETL, Delta Lake, workflows.

Learning resources last updated: March 30, 2026