Data Engineer Roadmap 2026 | How I'd learn Data Engineering in 2026
Key Takeaways
This video provides a roadmap for learning data engineering in 2026, covering tools and techniques like Hadoop, Spark, and cloud systems
Original Description
With the rapid growth of data, AI, and cloud systems, Data Engineering has become a foundational role in the data ecosystem. In this video, we break down a complete Data Engineering roadmap for 2026, covering the key skills, tools, and concepts you need to become job-ready.
You’ll get a week-by-week learning plan, practical checklists, and free resources, along with how I’d learn Data Engineering if I were starting from scratch today
Roadmap with Weekly Study Plan & Free Resources - http://codebasics.io/resources/data-engineer-roadmap-2026
Data Engineering Suitability Test: https://codebasics.io/survey/find-your-match-de
Industry experts featured here:
Atul Pundhir - https://www.linkedin.com/in/atulpundhir/
Varun Vyas - https://www.linkedin.com/in/vyasvarun/
⭐️ Timestamps ⭐️
0:00 Intro
2:10 Salary Range
2:26 Suitability Test
2:46 Job Analysis Report Overview
3:08 Overview of the Roadmap
3:31 Data Engineer Categories
7:42 Conversation with Industry Experts
11:24 Skill Handyman
12:08 Data Engineer Skills Matrix
12:56 Fundamental Research + Preparing your Mind & Body
13:35 Python Basics + Essential Data Structures🐍
16:26 Python for Data Engineering🐍
17:28 Data Engineering Foundations + Git
19:59 SQL Mastery
26:23 Data Modeling & Warehousing Basics + Linux Fundamentals📊
29:25 ETL on Cloud (Batch Pipelines)
33:46 Docker + ATS Resume
37:50 Spark + Databricks
41:20 End-to-End Data Engineering Projects on Databricks
43:49 Snowflake + Airflow
46:24 Streaming Data Systems: Kafka + Flink
48:53 Analytics Engineering with dbt + Cloud Scaling + Portfolio
53:38 Data Quality & Reliability
55:27 Business Projects, CI/CD & Open Source
59:47 Personal Branding, Interviews & Long-Term Career Growth
1:01:10 Interview Communication
1:01:46 Job Applications
1:05:47 Tips & Final Thoughts
Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable vide
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Python Tutorial - 19. Multiple Inheritance
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Python Tutorial - 21. Iterators
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Chapters (28)
Intro
2:10
Salary Range
2:26
Suitability Test
2:46
Job Analysis Report Overview
3:08
Overview of the Roadmap
3:31
Data Engineer Categories
7:42
Conversation with Industry Experts
11:24
Skill Handyman
12:08
Data Engineer Skills Matrix
12:56
Fundamental Research + Preparing your Mind & Body
13:35
Python Basics + Essential Data Structures🐍
16:26
Python for Data Engineering🐍
17:28
Data Engineering Foundations + Git
19:59
SQL Mastery
26:23
Data Modeling & Warehousing Basics + Linux Fundamentals📊
29:25
ETL on Cloud (Batch Pipelines)
33:46
Docker + ATS Resume
37:50
Spark + Databricks
41:20
End-to-End Data Engineering Projects on Databricks
43:49
Snowflake + Airflow
46:24
Streaming Data Systems: Kafka + Flink
48:53
Analytics Engineering with dbt + Cloud Scaling + Portfolio
53:38
Data Quality & Reliability
55:27
Business Projects, CI/CD & Open Source
59:47
Personal Branding, Interviews & Long-Term Career Growth
1:01:10
Interview Communication
1:01:46
Job Applications
1:05:47
Tips & Final Thoughts
🎓
Tutor Explanation
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