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Top 50 data parsing Interview Questions

The most frequently asked data parsing questions across all roles and companies, ranked by real interview frequency. Updated daily.

50questions
~14htotal time
49companies covered
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1
CodingStart here. 23 questions · ~373 min
Parse and Transform Structured DataMedium
Practice
Recently asked

Parse nested clinical observations, deduplicate versions, and return records sorted by patient and collection time.

data parsingpythonSanofiGenius SportsSpacex
Parse Logs for IncidentsMedium
Practice
Recently asked

Parse login logs and use grouped sliding windows to detect IPs with repeated failed authentication attempts.

data parsingStringsalertsGoogle
Efficient Nested JSON ParsingHard
Practice

Flatten nested JSON into path-value pairs using iterative depth-first traversal with O(n) time and controlled stack space.

data parsingpythonWissen Technology66degrees
Parse JSON Data ApproachMedium
Practice
Recently asked

Parse a JSON string and flatten nested objects and arrays into dot-separated paths using recursion.

data parsingCodingData StructuresTredence
Time-Series Parsing and Gap FillingMedium
Practice

Fill missing regularly spaced time-series points using linear interpolation between known observations.

data parsingArraysAlgorithmsWorldQuant
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2
SQL & Data Manipulation3 questions · ~49 min
Parse Raw Data Into Structured DataMedium
Practice
Recently asked

Parse pipe-delimited employee records into validated structured rows using PostgreSQL string and type-conversion functions.

data parsingdata cleaningdata validationGusto
Parse Incoming Data Into JSONMedium
Practice
Recently asked

Convert delimited incoming records into typed JSON while filtering to valid records from open batches.

data parsingnull handlingdata validationGusto
Extract KPIs from Unstructured LogsMedium
Practice
Recently asked

Parse release log text and calculate event counts, error rates, average latency, and p95 latency per software release.

data parsingdata cleaningAggregationsApple
3
Pipelines24 questions · ~389 min
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