Is data engineering worth the hype it's built over the years? Our guest today, Rohit Jadhav, a data engineer at Amazon, shares everything you need to know about this exciting field, especially if you're considering starting a career in data engineering! Discover the distinctions between data engineers and data analysts, and learn about the essential skills you need to master to break into the data field, the typical promotion pathways from junior to senior data engineer, data architect, and beyond, as well as the flexible work-life balance often associated with data engineering roles, and so much more… FOLLOW US ON OTHER SOCIALS: 🎙 Podcast / https://podcasters.spotify.com/pod/show/jobdictionary 🌍  Website / https://jobdictionary.com 🐦  Twitter / https://x.com/jobdictionary_ 📸  Instagram / https://www.instagram.com/jobdictionary/ 📱  TikTok / https://www.tiktok.com/@jobdictionary 👨‍💻  Linkedin / https://www.linkedin.com/company/jobdictionary/ 🎥  Facebook / https://www.facebook.com/profile.php?id=61557725591538 WHAT IS JOB DICTIONARY? Hey 👋 Job Dictionary is a free education platform showing you the 95% of jobs you’ve never heard of before, sharing in-depth interviews with professionals in a vast variety of fields, so you can see what the job is REALLY like through their personal experience and pick the best one for you. Visit jobdictionary.com to explore our vast selection of categories (launching this July 2024) and grab our Job Hunt Hacks to help you land your dream job. ⌚️Timestamps: 00:00 What is data engineering? 03:26 How Rohit landed a role as a data engineer 07:24 Do you really have to study at a university to start a career in data engineering? 10:45 What a day in the life looks like as a data engineer 16:35 Popular data tools used: S3, Spark, Airflow, and more 18:01 The challenging part of being a data engineer 23:42 What people overestimate in this profession 26:38 How to start or find a job as a data engineer 30:20 Skills that you need to have to be a good data engineer 33:36 Progressing in data engineering: from basics to considerations. 35:53 Progression to senior data engineer typically takes 2 years. 39:25 Recommended resources and certifications for aspiring data engineers 41:19 Tip for aspiring data engineers: utilize LinkedIn