Top 50
Prep plan
Updated weekly · Last refresh Aug 30

Oracle Data Engineer Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 7 questions · ~61 min
First Non-Repeating CharacterEasy
Practice

Find the first non-repeating character in a string using frequency counting and a second pass in O(n) time.

Hash TablesStringsSearchingOracle
Log Parsing for 500 ErrorsMedium

Tests practical data engineering coding skills for parsing, filtering, and aggregation at scale.

Hash TablesArraysStringsOracle
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2
SQL & Data Manipulation19 questions + 2 drills · ~186 min
Top Paid Per DepartmentEasy
Practice

Find the top 3 highest-paid employees in each department using window functions.

Window FunctionsRankingOracle
Ranking Trial Results with Window FunctionsEasy

Explain how RANK(), DENSE_RANK(), and ROW_NUMBER() differ when ordering tied clinical trial results.

Window FunctionsRankingData WranglingOracle
Simplify Reporting Queries with CTEsEasy

Explain how CTEs make complex PostgreSQL queries easier to read, debug, and maintain in reporting workflows.

SubqueriesJoinsCTEsOracle
Second Highest Trader SalaryEasy
Practice
Recently asked
Practice drill

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

SubqueriesRankingSortingeClinicalWorksInformaticaSpectraforce Technologies
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
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3
Pipelines19 questions · ~166 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 ProcessingETLOracle
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityOracle
Choosing Batch vs Real TimeHard

Evaluate when a pipeline should use stream processing versus scheduled batch based on latency, cost, complexity, and data quality needs.

Stream ProcessingBatch ProcessingDependenciesOracle
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4
Behavioral & Leadership5 questions · ~44 min
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.