2025 Data Engineering Roadmap
100+ people got it. 105+ tools and concepts needed to become Data Engineer.
📍 Locations: Europe, Asia
Data Job Board
Jobs for Interns/Trainees/Juniors, as well as Middle & Senior:
- ✅ Data Engineers
- ✅ Data Scientists
- ✅ Data Analysts
P.S. The list is constantly updating + I get job offers/internships from recruiters
Learn faster
Jumpstart your Data Engineer career
Useful resources to learn key concepts from basics to advanced level, and become a rockstar Data Engineer
Latest articles
Useful insights and resources the blog to learn from
How to Pass Your Data Modeling Interview
The biggest mistake in a data modeling interview is to flex every design pattern you know. Yes, there are fancy modeling techniques, but that is not how you pass an interview. Do you want to know how you actually pass a data modeling interview? Here's how. Step 1: Play Interrogator * What is the business context? * E-commerce, streaming, social media? * What are the key metrics they need to track? * What's the data volume and velocity? * Who are the end users - analysts, data scientist
Python for Data Engineering
How I use Python as a Data engineer: Python plays a vital role in my daily work as a data engineer. In this guide, I’ll share tips, best practices, and insights into how I use Python effectively as a Senior Data Engineer. [source: https://datanerd.tech/] Python is among the top 5 essential skills for a data engineer. Its simple syntax makes it super friendly even to beginners. Python’s extensive ecosystem of frameworks and libraries, such as pandas, numpy, and Airflow, supports diverse data
Best Practices to Get Started with Data Observability + Hands-On Examples
! Get your Data Observability checklist in the end ! DATA DOWNTIME - words that send shivers down the spine of every Data Engineer. It’s literally like stopping blood flow in the human body or bringing a business to a halt. Want an even better comparison of how severe Data issues can be? Just as diseases can disrupt the human body, erroneous data can wreak havoc on a business. Let's explore some common types of erroneous data issues and how they can affect a company's processes: ⚠️ Corrupted
Get in touch
Follow me for more useful content and memes.
