How to Choose a Path
4 entriesData engineers build and run the pipelines, warehouses, lakehouses and streaming systems that feed analytics and AI. Learn SQL and Python first, then pipeline orchestration and one cloud or lakehouse platform, and add a certification for the platform you use.
Step 1: Fundamentals
5 entriesSQL, Python and core data concepts.
Step 2: Courses & Free Bootcamps
7 entriesStructured programs that build full pipeline skills.
Step 3: Cloud & Lakehouse Certifications
10 entriesRole-based credentials on the major data platforms.
Tool-Specific Training & Certifications
12 entriesOrchestration, transformation and streaming.
Data Management Credentials
2 entriesGovernance and data management beyond pipelines.
Related Pages
7 entriesNeighbouring pages on this site.
Frequently Asked Questions
How do I become a data engineer?
Learn SQL and Python, then a pipeline orchestrator such as Airflow, a transformation tool such as dbt, and one cloud or lakehouse platform. Build a portfolio project that ingests, transforms and serves data.
Which data engineering certification should I take first?
Choose the platform you use: AWS Certified Data Engineer Associate, Microsoft Fabric Data Engineer Associate, Google Professional Data Engineer, or Databricks Certified Data Engineer Associate.
Are there free data engineering courses?
Yes. The Data Engineering Zoomcamp is a free, project-based course, and Confluent Developer, dbt Learn and Microsoft Learn offer free training.
Do I need a certification?
No, but a platform certification helps show baseline skills. Projects and hands-on experience matter as much.
How current is this page?
Links were checked in October 2026. Exam names, versions, prices and retirement dates change often, so confirm details on the provider's own page. Descriptions summarize each provider's pages, and listing is not an endorsement. Sites that block automated checks are kept and may need a manual click.