Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO at Scalepex · Remote (Mexico)
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Airflow
A time you used Airflow: the problem, what you did yourself, and what happened.
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AWS
A time you used AWS: the problem, what you did yourself, and what happened.
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CI/CD
A time you used CI/CD: the problem, what you did yourself, and what happened.
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Databricks
A time you used Databricks: the problem, what you did yourself, and what happened.
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7+ years of experience
How your experience adds up to what they ask for (7+ years), and the parts most like this job.
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3–7 years of experience in
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data engineering or software development at an enterprise level
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Apache Spark (Scala)
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and relational databases
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Columnar storage formats
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(e.g., Apache Parquet)
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Experience with
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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 Scalepex 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: Angular is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: CI/CD 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