Schema-first questions
Each SQL question is designed around tables, column types, sample rows, and expected output. That keeps practice close to real interviews, where candidates must translate business logic into a correct query.
Data Role Ready
SQL practice
SQL interview prep for data roles
Build the SQL patterns that data teams actually test: joins, aggregations, windows, deduplication, cohort analysis, reconciliation, and data quality checks.
Best For
- Data engineering candidates preparing for warehouse and pipeline interviews.
- Analytics engineers who need stronger modeling, metric, and data quality SQL.
- BI and data analyst candidates practicing realistic table-based prompts.
What You Get
- Practice against clear schemas, sample inputs, and expected outputs.
- Run answers in a live workspace instead of reading static explanations.
- Review weak areas after submissions so each session has a concrete follow-up.
Feedback beyond correctness
The workspace supports execution results, hints, explanations, and code review so users can understand why a query is wrong and what pattern to study next.
Tailored to the target job
Generated kits use the job description and resume context to emphasize relevant stacks such as Snowflake, BigQuery, Databricks, PostgreSQL, dbt, and data quality workflows.
Frequently Asked Questions
Can I practice SQL with actual tables?
Yes. SQL questions include input schemas and sample data, and the app provides a workspace for writing and running queries.
Is this only for beginner SQL?
No. Kits can include intermediate and advanced topics such as window functions, reconciliation, retention, deduplication, and dimensional modeling checks.