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Prep plan
Updated weekly · Last refresh Aug 30

Globant Data Engineer Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 14 questions · ~119 min
Spark Lazy Evaluation PerformanceMedium

Tests ability to connect lazy execution to optimization strategies and runtime behavior.

performancesparkGlobant
Repartition vs CoalesceMedium

Tests Spark partitioning knowledge and ability to choose the right shuffle strategy.

pysparkperformance optimizationsparkGlobant
Clean Raw Data with PythonMedium

Tests practical Python data cleaning skills and handling of messy real-world datasets.

data cleaningpythonGlobant
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2
Pipelines20 questions · ~170 min
S3 Security with IAM and KMSMedium

Tests practical AWS security controls for protecting data at rest and access management.

SecurityawsGlobant
AWS Glue vs EMRMedium

Tests ability to select the right AWS service for scalable data processing needs.

awsGlobant
Design Scalable Fault-Tolerant PipelinesHard

Tests architecture skills for reliability, scalability, and operational resilience in data pipelines.

data pipelinescalabilityfault toleranceGlobant
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3
SQL & Data Manipulation11 questions + 3 drills · ~123 min
4
Behavioral & Leadership5 questions · ~42 min
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.