Home▸Articles▸Computer Science

Data Engineer Pathway - Technical Documentation

This guide outlines a comprehensive roadmap for aspiring data engineers, covering everything from fundamental programming skills to advanced big data technologies.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

Step-by-Step Training Plan to Become a Data Engineer

A data engineer builds and maintains the infrastructure for processing and analyzing large volumes of data. This pathway covers all the necessary skills for working with data at scale.

Phase 1: Programming Fundamentals (1-3 months)

Phase 3: ETL Processes (5-7 months)

Phase 4: Data Pipelines (7-9 months)

Phase 5: Big Data (9-12 months)

live demo · related simulation● LIVE

Phase 7: Data Warehousing (14-16 months)

Data Warehouse Concepts

ETL for Data Warehouse

Frequently asked questions

What are GCP (BigQuery, Dataflow)?

GCP (BigQuery, Dataflow)

What does Phase 9: Data Quality and Governance (18-20 months) cover?

Phase 9: Data Quality and Governance (18-20 months)

What does Phase 10: Advanced Topics (20+ months) involve?

Phase 10: Advanced Topics (20+ months)

What are the basics of Machine Learning?

Machine Learning Basics

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation