Top 22
Prep plan
Updated weekly · Last refresh Oct 17

Red Ventures Data Engineer Interview Questions

The questions to prepare for a Red Ventures Data Engineer interview. Questions from real interview reports rank first. Updated daily.

22questions
~4htotal time
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1
CodingStart here. 6 questions · ~61 min
Merge Two Sorted ArraysEasy
Practice

Merge two sorted arrays into one sorted array using a two-pointer linear scan.

ArraysSortingTwo PointersRed Ventures
Maximum Sum Contiguous SubarrayEasy
Practice

Use Kadane's algorithm to find the contiguous subarray with the largest sum in linear time.

Dynamic ProgrammingArraysGreedyRed Ventures
Databricks Spark AssignmentHard

Evaluates your ability to implement Spark solutions in Databricks using both Scala and Python.

sparkdatabricksRed Ventures
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2
SQL & Data Manipulation3 questions + 2 drills · ~51 min
3
Pipelines6 questions · ~61 min
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLRed Ventures
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityRed Ventures
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityRed Ventures
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4
Behavioral & Leadership7 questions · ~71 min
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The finish line: interview-readyComplete all 22 questions plus 2 hands-on drills to finish this plan.