Data Engineering
System Design
Design data warehouses, streaming pipelines, and ETL systems from scratch. Covers the 14 most-asked DE design problems at Airbnb, Uber, Netflix, and top data-driven companies.
$20 per month, billed yearly
Start Learning- 4,000+ Interview Questions
- 10+ Courses - DS, DE, MLE
- Detailed Solutions in Texts and Videos
- Created by Engineers at Meta and Google
- Lifetime Slack Community Access
About the Course
Data engineering system design interviews test whether you can architect production data infrastructure under time pressure. This course gives you a repeatable framework: clarify data requirements, sketch ingestion and storage layers, then deep-dive into processing, orchestration, and quality.
Start with The Playbook — an interview framework tailored to DE roles, estimation techniques for data volumes, and a guide to choosing the right data store. Then build your vocabulary with 12 concept lessons covering batch vs streaming, CDC, partitioning, file formats, schema evolution, and more.
Finally, practice with 14 end-to-end design cases — from data warehouses to feature stores — each with pipeline diagrams, storage schemas, and tiered solutions showing what separates mid-level from staff-level answers.
Explore the Course
$20 per month, billed yearly
Start Learning- 4,000+ Interview Questions
- 10+ Courses - DS, DE, MLE
- Detailed Solutions in Texts and Videos
- Created by Engineers at Meta and Google
- Lifetime Slack Community Access