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LeetCode and HackerRank alternative

LeetCode for data engineers

LeetCode and HackerRank are where most people practice for coding interviews, and they are good at it. A data engineering interview loop asks for more: SQL on messy warehouse tables, PySpark transforms, data modeling, and questions about Airflow, dbt, and Kafka. Lakebench is built for those rounds. Every problem runs in your browser, with no database or Spark cluster to set up.

Try the SQL problemsAll interview problems

What LeetCode and HackerRank do well

Algorithms and data structures. Arrays, trees, graphs, and dynamic programming, with huge problem banks and active discussion. If your target company runs a classic DSA round, keep using them for it. Their SQL sections exist, but they are a small side of the product, usually on small toy tables.

What a data engineering interview adds

Writing SQL at the right grain after a join, window functions over event data, deduplicating late or repeated records, and explaining why a query is slow. Transforming DataFrames in PySpark or Pandas. Modeling a star schema or a slowly changing dimension. Talking through how you would build, schedule, and monitor a pipeline. These are the rounds that decide most data engineering offers.

What Lakebench gives you

60 SQL problems on a shared set of warehouse tables, 120 Python and DSA problems framed around data work, and 65 PySpark and Pandas problems. SQL runs on DuckDB and Python on Pyodide, both inside the browser tab. Around them: 11 learning tracks with 180 lessons, 445 interview theory questions with full answers, timed mock interviews, and a 45-day study plan.

A practical way to split your prep

Use LeetCode or HackerRank for the pure algorithms round. Use Lakebench for SQL, PySpark, modeling, and pipeline questions, and for practicing how to explain your answer out loud. Most candidates are weakest on the second list, because general coding sites cover it the least.

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 · Interview
    Open in studio
  • EasyFree

    Python interview drill

    Free Lakebench Python drill. Flatten nested lists without splitting strings.

    10 minPython · Recursion · Interview
    Open in studio
  • EasyFree

    PySpark interview drill

    Free Lakebench PySpark drill. Cast string CSV columns to an explicit schema.

    12 minPySpark · Schema · Interview
    Open in studio

FAQ

Is Lakebench affiliated with LeetCode or HackerRank?
No. Lakebench is an independent product. LeetCode and HackerRank are trademarks of their owners and are named here only to compare what each is built for.
Are the problems copied from LeetCode?
No. Every problem, dataset, and answer on Lakebench is written from scratch around realistic data engineering tasks.
Is it free?
Yes, to start. Beginner problems in every language, the core lessons of each track, the studio sandbox, days 1 to 12 of the 45-day plan, and one mock interview are free, no card needed. Pro unlocks the rest, from ₹399, as a one-time pass that does not auto-renew.
Do I need to install Spark, Python, or a database?
No. SQL, Python, Pandas, and PySpark all run inside your browser tab, against tables that are already loaded.

Related

  • SQL interview questions
  • PySpark interview questions
  • Python interview questions
  • Data engineering theory questions
  • 45-day plan

Not sure where to begin?

Answer two questions and we'll point you at one first lesson and one free practice ticket.

Where should I start?Jump to Core Python
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Warehouse practice that runs in the tab, not on a cluster. Learn concepts, solve interview drills, and mock the round in one place.

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