Data Engineering Career Path: Skills & Tips | Data Engineer vs Data Scientist | Telugu Podcast

Data Engineering Career Path: Key Skills, Tools, and Interview Tips | Data Engineer vs Data Scientist vs Data Analyst In this video, we explore everything you need to know about Data Engineering, including the career path, essential skills, and key tools like ETL, Spark, Snowflake, and more! Whether you’re looking to switch careers or want to get started as a Data Engineer, Data Scientist, or Data Analyst, this guide is for you! 🚀 Timestamps: 0:00 - Key Highlights 1:52 - Introduction to Data Engineering 4:09 - What Does a Data Engineer Do? 6:29 - Essential Tools Used by Data Engineers 9:24 - How to Switch from ETL to Data Engineering 12:11 - Data Analyst vs Data Engineer vs Data Scientist 16:51 - My Journey into Data Engineering 19:32 - How to Ace the Data Engineering Interview 21:59 - Roadmap to Transition into Data Engineering 31:28 - What to Learn for Data Engineering vs Data Analyst & Data Scientist 46:10 - Snowflake vs Databricks: Key Differences 50:56 - Spark and Distributed Computing Explained 52:38 - Proxy Jobs in Data Engineering 55:10 - Are People Leaving India for Research Jobs? 1:00:11 - ChatGPT vs Deepseek: The AI Debate 1:05:35 - Should There Be an AI Ministry? 1:07:38 - Rapid Fire Questions! Subscribe for more expert insights on Data Engineering and Tech Careers! Turn on notifications so you never miss an update! Drop a comment with your thoughts or questions below! #DataEngineering #CareerSwitch #ETL #DataScience #DataAnalytics #BigData #Snowflake #Databricks #MachineLearning #AI #CloudComputing #TechCareers