#LearnDataEngineering #DataEngineeringSkills #DataEngineeringTools Data engineering educator Andreas Kretz joins @JonKrohnLearns for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career. This episode is brought to you by Glean (https://glean.io), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (https://linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit https://www.jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • [00:00:00] Why learn data engineering? • [00:06:24] What is data engineering? • [00:12:13] What sets Senior Data Engineers apart from junior ones? • [00:18:42] The must-know data engineering tools • [00:42:40] The right path to learn data engineering • [00:50:01] Are certifications worth it? • [00:53:40] The future of data engineering • [00:57:04] Andreas's career challenges Additional materials: https://www.superdatascience.com/657