Turn your resume and target job into an adaptive interview plan for SQL, Python, system design, and behavioral rounds.
Start with your job description and resume.
See what is supported, partial, or not explicitly mentioned.
Open the next relevant SQL, Python, behavioral, or system-design task.
Data Role Ready keeps role requirements, resume evidence, and practice performance distinct, so you can see why a task is relevant before starting it.
Requirements are extracted from the target job.
Resume and confirmed evidence are linked to the role.
The next task is selected from validated kit content.
Completed attempts build a more useful readiness signal.
Review and correct the skills, evidence, gaps, and weights extracted from your target role.
Practice the highest-value gap instead of choosing among a wall of equal-priority questions.
Deterministic results and rubric feedback update readiness after each graded attempt.
Work through real question context, write an answer, then run or submit when you are ready.
Use the schema and requirements beside the editor.
SQL and Python use the correct workspace for the question.
Keep control of the learning loop.
Use hints, explanations, and review actions only when you choose them. Saved feedback stays connected to the question and its validated role requirement.
Start from the role you want, then use the right practice environment at the right time.
Turn one resume and target job description into a grounded interview plan.
Work through validated SQL, Python, behavioral, and system-design questions.
Keep resume evidence, interview readiness, and completed attempts in their proper context.
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.
Built by a data engineer with 12+ years of production experience.
Read the Privacy PolicyPersonal identifiers are scrubbed before AI processing where applicable.
Application, data, and AI workloads run on reviewed Microsoft Azure services.
Delete your account, resumes, job descriptions, kits, and related data from the product.
Subscription checkout and payment details are handled by Stripe.
Free gives you a complete first prep experience. Starter adds the AI-assisted workflow for an active job search.
A practical way to try Data Role Ready with your first target role.
For active job seekers who want tailored practice and guided feedback.
Start with a free diagnostic, competency map, and personalized practice set.
Build my free interview plan