Data engineering interviews
Prepare for a data engineering interview
A data engineering loop usually mixes SQL on messy tables, Python or PySpark transforms, questions about pipelines and modelling, and a conversation about how you handle failures. LakeBench covers each of those in one place, and everything runs in your browser.
Start with the basics you will be asked
SQL joins, grouping and window functions come up in nearly every screen, followed by Python and PySpark. If any of those feel shaky, work through the free sheets first, then return to the harder problems.
Practice the way the round feels
Use the mock interview to answer out loud and get feedback, the theory questions to check your explanations, and the 45-day plan if you want a fixed schedule. The first days of the plan and the beginner problems are free.
Try in the studio
Runnable tickets on warehouse tables in your browser.
- EasyFree
SQL interview drill
Free LakeBench SQL drill. Filter Engineering salaries on the shared studio tables.
8 minSQL · Filtering · InterviewOpen in studio - EasyFree
Python interview drill
Free LakeBench Python drill. Flatten nested lists without splitting strings.
10 minPython · Recursion · InterviewOpen in studio - EasyFree
PySpark interview drill
Free LakeBench PySpark drill. Cast string CSV columns to an explicit schema.
12 minPySpark · Schema · InterviewOpen in studio
FAQ
- I am new to data. Where should I start?
- Start with the SQL 50 sheet and the first Python lessons. The learning paths page lists the steps in order.
- Is there a fixed plan I can follow?
- Yes. The 45-day plan gives one focused task per day, and the first days are free to open.
Related
Not sure where to begin?
Answer two quick questions and LakeBench picks your first lesson and one free practice ticket. No mentor, no guesswork, no account needed.
- 1Pick your goal
- 2Read one lesson
- 3Solve one ticket