Top 24
Prep plan
Updated weekly · Last refresh Aug 30

Decision Point Data Engineer Interview Questions

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

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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~79 min
Second Highest Trader SalaryEasy
Practice

Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.

SubqueriesRankingSortingDecision Point
Advanced Salary Ranking SQLMedium
Practice

Use CTEs and DENSE_RANK to find employees earning the second highest distinct active salary.

sqlDecision Point
OLTP vs OLAP Database DesignMedium

Explain OLTP vs OLAP designs, including schema shape, workload patterns, and when each is appropriate in a data platform.

financial dataperformanceData ModelingDecision Point
Second Highest Without AggregatesHard
Practice
Practice drill

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsCredit GenieDevoteamCisco Restaurant + Bar
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2
Pipelines10 questions · ~98 min
Design High-Throughput Event PipelineHard

Design a real-time event pipeline that can handle millions of events per second with sub-second latency.

data pipelineevent processinglatencyDecision Point
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingDecision Point
Batch vs Stream Processing Trade-offsMedium

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

InfrastructureStream ProcessingETLDecision Point
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3
Behavioral & Leadership5 questions · ~49 min
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4
More topics2 questions · ~20 min
Merge Two Sorted ArraysEasy
Practice

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

ArraysSortingTwo PointersDecision Point
Process Data Larger Than MemoryHard

Tests your ability to design out-of-core or distributed solutions for big data constraints.

Hash TablesSortingGreedyDecision Point

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