Data Engineer with DataBricks at capco · India - Pune
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Agile
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Python
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Scrum
A time you used Scrum: the problem, what you did yourself, and what happened.
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SQL
A time you used SQL: the problem, what you did yourself, and what happened.
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5+ years of experience
How your experience adds up to what they ask for (5+ years), and the parts most like this job.
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Education
Your studies or training, or the equivalent experience if the ad allows it.
The ad says: “Bachelor's or Master's degree in Computer Science, Information”
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5+ Years
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5+ years of relevant experience
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in Data Engineering.
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Proven experience working with large-scale data platforms and distributed data processing frameworks.
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Strong analytical, debugging, problem-solving, and communication skills.
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Ability to collaborate effectively with cross-functional technical and business stakeholders.
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Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for capco on JobRipe yet. Use the job ad and our guide below.
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Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Core skill.
How to answer: Ingestion, storage, orchestration, idempotency, backfills, monitoring.
Why they ask: Data correctness.
How to answer: Watermarks, dedup keys, reprocessing windows.
Why they ask: Databricks is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: AWS is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them