What a Data Engineering & ETL intern does

The Data Engineering & ETL role, what you build at each level and what you need before you start.

Build the pipelines that move and clean data for analytics: Python, SQL, Airflow, dbt, Spark, warehouses and data quality checks.

What you build, level by level

Level 1: Foundations: What data engineers do, Python for data, SQL refresher and more.
Level 2: Building real features: Apache Airflow, dbt models, Incremental loading and more.
Level 3: Professional work and capstone: Streaming with Kafka, Stream processing, Data lake layers and more.

Where this work is used

Training Trains, W3AppDevelopers and DomainHostly use these skills in real projects: Data Science Solutions. Interns who pass the readiness check can take paid-company work from the Company Work board in the portal.

Before you start

Python and SQL basics help; both are refreshed in level 1.

Tools and first-week setup →