什么是数据工程？带你了解数据工程师的职能

This video introduces the core functions and skill requirements of data engineers, and is presented by Chao, an instructor with six years of experience in big data development. The video first explains the basic concepts of data engineering, including the processes of data collection, storage, processing and optimization, and analyzes the importance of data engineering in modern enterprises. Based on his own experience, Chao detailed the daily work content of data engineers, involving data pipeline construction, ETL processing, data modeling, and the application of cloud platforms such as AWS and Azure. The video also explores the career development path of data engineers, emphasizing the importance of mastering technologies such as SQL, Python, and Spark. In addition, the video provides job search advice, including how to improve technical capabilities, accumulate project experience, and employment prospects in the Australian IT market. Finally, the instructor encourages viewers to continue learning and provides courses and job search resources from the Artisan Academy to help job seekers who are interested in entering the field of data engineering better plan their career paths. 本视频介绍了数据工程师的核心职能和技能要求，由在大数据开发领域拥有六年经验的讲师 Chao 主讲。视频首先讲解了数据工程的基础概念，包括数据收集、存储、处理及优化的流程，并分析了数据工程在现代企业中的重要性。Chao 结合自身经验，详细介绍了数据工程师的日常工作内容，涉及数据管道构建、ETL 处理、数据建模及云平台（如 AWS 和 Azure）的应用。视频还探讨了数据工程师的职业发展路径，强调掌握 SQL、Python、Spark 等技术的重要性。此外，视频提供了求职建议，包括如何提升技术能力、积累项目经验以及在澳洲 IT 市场中的就业前景。最后，讲师鼓励观众持续学习，并提供了匠人学院的课程和求职资源，以帮助有志于进入数据工程领域的求职者更好地规划职业道路。