Design a 25,000-CSV ETL pipeline

Quick Overview

This question evaluates data engineering and ETL pipeline design skills, specifically competencies in automation, schema validation, type standardization, deduplication, bad-row handling, retries, idempotency, and operationalization of large-scale CSV ingestion for analytics.

Design a 25,000-CSV ETL pipeline

Company: Natoora

Role: Data Analyst

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Technical Screen

Quick Answer: This question evaluates data engineering and ETL pipeline design skills, specifically competencies in automation, schema validation, type standardization, deduplication, bad-row handling, retries, idempotency, and operationalization of large-scale CSV ingestion for analytics.

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Natoora
Jan 18, 2026, 12:00 AM
mediumData AnalystTechnical ScreenCoding & Algorithms
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