Drop in your resume and a target job description. We generate a tailored kit of SQL, Python, system design, and behavioral questions — with a live workspace and an AI coach that pushes back like a real interviewer.
01 WITH weekly AS (
02 SELECT user_id,
03 DATE_TRUNC('week', ts) AS wk
04 FROM events
05 GROUP BY 1, 2
06 )
07 SELECT a.wk, COUNT(*) AS churned
08 FROM weekly a
09 LEFT JOIN weekly b
10 ON ...Real schemas, real execution, real feedback. No multiple choice.
SELECT DISTINCT ON (user_id, event_type) user_id, event_type, ts FROM events_log WHERE ts >= NOW() - INTERVAL '7 days' ORDER BY user_id, event_type, ts DESC; -- [SUCCESS] 12,401 rows · 124 ms
Postgres-native dedup; cleaner than ROW_NUMBER for this case.
Group ts to the nearest second before deduping — otherwise near-duplicates 100ms apart slip through.
Curated paths based on your target stack. Generated from your JD; updated as you progress.
Window functions, recursive CTEs, optimization for BigQuery and Snowflake.
Pandas vectorization, PySpark, async ingestion patterns.
Idempotent pipelines, exactly-once delivery, backfills at scale.
Public guides for the main study paths inside Data Role Ready. Each page explains the practice area and links back into the workspace.
Practice realistic SQL interview questions for data engineering, analytics engineering, and BI roles with schema-based prompts, execution, and AI feedback.
Prepare for Python data interviews with realistic pandas, parsing, transformation, and pipeline-style coding practice tailored to your target role.
Generate a tailored data engineer interview prep kit from your resume and target job description, then practice SQL, Python, systems, and behavioral questions.
Practice analytics engineering interviews with SQL, metrics, dbt-style modeling, data quality checks, and stakeholder-ready reasoning.
Prepare STAR-format behavioral answers for data engineering and analytics interviews using your resume and target job context.
Upload your resume and paste a job description. We extract the stack, role level, and gaps.
AI builds a tailored set of SQL, Python, system design, and behavioral questions.
Write code in a live sandbox. Get hints, error explanations, and code review on demand.