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Data Science · Career Roadmap

How to Become a Data Engineer

Building the pipelines everyone else's analysis depends on.

01

Master Python and SQL

The foundational toolkit for building and maintaining data pipelines.

02

Learn ETL Fundamentals

Extracting, transforming, and loading data reliably — the core responsibility of the role.

03

Understand Data Warehousing Concepts

How data is structured for analysis at scale, and why it differs from operational database design.

04

Practice Pipeline Orchestration

Learn to automate and schedule data workflows so they run reliably without constant manual intervention.

05

Learn Data Quality & Monitoring

Catching pipeline failures before they become someone else's broken dashboard.

06

Build a Data Pipeline Project

Complete an automated pipeline moving and cleaning real data from source to a usable destination.

Next step

This roadmap is the outline — the program is the actual training

Every stage above is built into the Data Engineering Foundations program's curriculum, labs, and projects.

View Full Curriculum
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