Question 1

What is Data Engineering and why learn it?

Accepted Answer

Data Engineering is the discipline of designing, building, and maintaining systems that collect, store, and process data. It's one of the highest-paying tech careers, with salaries exceeding $100,000+ USD annually for senior positions.

Question 2

Do I need prior experience?

Accepted Answer

No prior Data Engineering experience required. The platform is designed to take you from zero to your first professional project. You only need basic programming knowledge or willingness to learn.

Question 3

What's included in the subscription?

Accepted Answer

The Premium Subscription ($49/month) includes: interactive roadmaps, guided projects, AI tutor, Python & SQL exercises, dataset generator, bootcamp recordings, Discord community access, and monthly live Q&A sessions.

Question 4

What languages is the platform available in?

Accepted Answer

The platform is fully available in English, Spanish, and Portuguese. All content including roadmaps, exercises, projects, and AI tutor support all three languages.

Question 5

How to learn Data Engineering from scratch?

Accepted Answer

To learn Data Engineering from scratch you need to master: 1) Python for data processing, 2) SQL for queries and transformations, 3) ETL/ELT concepts, 4) Cloud tools like AWS or GCP, 5) dbt for transformations. Ian Saura Academy has interactive roadmaps that guide you step by step from beginner to senior level.

Question 6

What do I need to become a Data Engineer?

Accepted Answer

To become a Data Engineer you need to learn Python, SQL, ETL/ELT tools, cloud computing (AWS, GCP or Azure), databases, and tools like dbt, Snowflake or Databricks. No computer science degree required.

Question 7

How much does a Data Engineer earn?

Accepted Answer

Data Engineers earn between $70,000 to $150,000+ USD annually in the US/Europe. Remote positions for international companies can pay $50,000-$100,000 USD.

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