Top 22
Prep plan
Updated weekly · Last refresh Aug 30
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HackerRank Data Engineer Interview Questions

The questions to prepare for a HackerRank Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

22questions
~3htotal time
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1
CodingStart here. 3 questions · ~26 min
Flatten Nested JSON PathsMedium
Practice

Flatten a deeply nested JSON-like object into path-value pairs using recursion and deterministic key construction.

HHackerRank
PySpark or Scala Transformation LogicMedium

Tests practical implementation skills for distributed data transformations.

pysparkHHackerRank
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2
Pipelines11 questions · ~97 min
Data Quality and Schema EvolutionMedium

Tests data governance practices including validation, compatibility, and evolution handling.

Data Qualitydata managementschema evolutionHHackerRank
High-Frequency Events With IntegrityHard

Tests system design for streaming or near-real-time ingestion with correctness guarantees.

system architecturedata integrityHHackerRank
Build Pipeline for Data ScienceHard

Tests pipeline implementation thinking for multi-source ingestion and analytics readiness.

system designdata pipelineHHackerRank
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3
SQL & Data Manipulation7 questions + 3 drills · ~91 min
Nulls and Precision in SQLMedium

Tests handling of null semantics and numeric/string formatting in analytical SQL.

null handlingsqlHHackerRank
Optimize Slow SQL on Large DataHard

Tests query optimization techniques for performance on large-scale datasets.

Performance Tuninglarge datasetsHHackerRank
Window Functions vs Group ByMedium

Tests understanding of SQL analytical patterns and when to use window functions vs aggregation.

Window FunctionsGroup ByHHackerRank
Top Users by CategoryMedium
Practice
Practice drill

Rank the three most active HackerRank users in each challenge category using joins, GROUP BY, and ROW_NUMBER().

sql queryGroup ByHHackerRank
Running 30-Day Active Users SQLMedium
Practice
Practice drill

Calculate rolling 30-day distinct OnStar users using a deduplication window function and date-range aggregation.

Window FunctionssqlGeneral Motors (GM)
Average Citation Count by TimeMedium
Practice
Practice drill

Calculate each paper's citation count and the average across Elsevier-indexed papers in a date range using a window function.

Window FunctionssqlElsevier
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4
More topics1 question · ~9 min
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The finish line: interview-readyComplete all 22 questions plus 3 hands-on drills to finish this plan.