Prefect Workflows
Prefect is a workflow orchestration platform for data engineers to build, test, and monitor data pipelines. It handles scheduling, retries, error handling, and monitoring. Used by data engineers, analytics engineers, and MLOps specialists. Junior: $85k–$115k; mid: $140k–$190k; senior: $210k–$290k. Learning takes 4–6 weeks. Sits between Apache Airflow and advanced data engineering.
מהי Prefect Workflows
Prefect is a modern workflow orchestration platform for building and managing data pipelines and ETL (Extract-Transform-Load) workflows. Developers write Python code using Prefect's Flows (workflows) and Tasks (individual steps), and Prefect handles scheduling, monitoring, retries, and error handling automatically. Prefect is designed to be simple and Pythonic. Instead of YAML-based DAGs (like Airflow), Prefect uses pure Python with decorators (@flow, @task), making it intuitive for Python developers. It includes cloud-hosted Prefect Cloud and self-hosted options (Prefect Server/Orion).
💰 שכר לפי אזור
| אזור | ג׳וניור | בינוני | סניור |
|---|---|---|---|
| USA | $85k | $140k | $210k |
| UK | $50k | $85k | $130k |
| EU | $55k | $90k | $140k |
| CANADA | $80k | $130k | $195k |
⚖ השוואה עם
❓ שאלות נפוצות
What is Prefect?
How does Prefect compare to Airflow?
What's the cost of using Prefect?
Can I schedule workflows with Prefect?
How do I handle failures in Prefect workflows?
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