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Discord link : / discord #dataengineering #datascience #etl #datamodeling #snowflake #dbt #databricks #python #meta #amazon #google #microsoft #dataengineeringessentials #powerbi #tableau #databaseconcepts #sqlcommand #coding #programming #sqlstatement #altertable #ai #airflow #spark #bigdata #aws #azure A lot of data engineering videos and roadmaps online will tell you to learn SQL, Python, and AWS etc. to become a data engineer. But the main reason people fail to become a data engineer is because they are not understanding the big picture of exactly what a data engineer actually does, why a specific tool is used or how it all ties together into a big picture. So, In this video I am exactly going to uncouple all of that. Hi, This is Nick. If you are here in the pipe code channel for the first time - welcome. I am a senior data engineer with over 8 years of experience at companies like Microsoft, Tiktok etc. I have been in both sides of data engineering interview table for over 500+ interviews and today i would like to present you how to become a data engineer in 2026. In order to understand everything better, lets break it down into 4 main steps. 1 What is Data Engineering? 2 What do Data Engineers actually Do? Skills and tools used to perform specific tasks better? 3 How to get started? 4 Where to practice 00:00 - Introduction 01:14 - Who is a Data Engineer 02:45 - What does a Data Engineer do day to day ? 02:51 - Data Extraction 05:43 - ETL (Extract, Transform, Load) 08:32 - Data Warehouse 09:52 - Data Delivery 11:21 - Data Orchestration 14:17 - How to crack a Data Engineering Interview? 17:14 - [Very Important] Where to get started?