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Updated weekly · Last refresh Aug 30

IBM Data Engineer Interview Questions

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

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1
PipelinesStart here. 10 questions · ~81 min
Data Cleaning in ETL PipelinesEasy
Recently asked

Approach for cleaning and preparing raw data inside an ETL pipeline.

Data WranglingETLQualityIBM
Spark Batch and Real-Time PerformanceMedium
Recently asked

Tests your ability to use Spark effectively and diagnose performance bottlenecks in production pipelines.

Batch ProcessingIBM
Unit Testing for Data PipelinesMedium
Recently asked

Tests your ability to ensure correctness and reliability of data pipeline outputs.

data pipelineIBM
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2
SQL & Data Manipulation8 questions + 3 drills · ~95 min
Efficient Data Modeling in Teradata or HiveMedium
Recently asked

Assesses your data modeling and schema design skills for large-scale analytics platforms.

database designData ModelingIBM
Data Warehouse vs Data LakeMedium
Recently asked

Assesses your understanding of core data architecture tradeoffs for enterprise deployments.

data warehouseIBM
Spark Basics and Window FunctionsMedium
Recently asked

Evaluates your foundational knowledge of SQL analytics and Spark concepts used in data engineering.

Window FunctionssqlsparkIBM
Use FULL JOIN for Complete CoverageMedium
Practice
Practice drill

Use a PostgreSQL FULL JOIN to reconcile employees and departments, including unmatched records from both IBM tables.

sqlIBM
Simple SQL Count QueryEasy
Practice
Practice drill

Count Q1 Enterprise support tickets for each IBM product using LEFT JOIN, COUNT, and filtered join conditions.

sqlIBM
Employee Earnings SQL ChallengeEasy
Practice
Practice drill

Use CTEs and aggregation to find the highest employee earnings and count employees tied at that amount.

sqlAggregationsIBMInteractive Process Technology
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3
Behavioral & Leadership9 questions · ~73 min
Resolving Pipeline Design DisagreementEasy
Recently asked

Tests conflict resolution and influence in a data engineering context, especially around pipeline trade-offs, ownership, and decision quality.

data pipelinestechnical experienceconcurrencyIBM
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4
More topics1 question · ~8 min
Python or SQL Aggregation Under ConstraintsHard
Recently asked

Tests your ability to design efficient solutions under strict computational constraints.

sqlpythonIBM

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