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Updated weekly · Last refresh Oct 17

Tiger Analytics Data Engineer Interview Questions

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

50questions

~12htotal time

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CodingStart here. 13 questions · ~184 min

PySpark Data Quality - Alphabetic NamesMedium

Practice

Filter employee records by validating that employee_name contains only ASCII alphabetic characters.

CodingAlgorithms

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PySpark Data Quality - Date FormatHard

Practice

Identify records whose date values are null, malformed, or not valid yyyy-MM-dd calendar dates.

Codingedge casescsv parsing

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System Design3 questions · ~43 min

Connecting Tables Across AWSHard

Design a secure AWS Glue pipeline that joins RDS and Redshift data through one managed connection pattern.

cloud architecturedatabase accessdata ingestion

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PySpark Memory TroubleshootingHard

Diagnose PySpark memory failures by separating driver, executor, Python worker, shuffle, and memory-overhead causes.

distributed systemsdata ingestionfailure modes

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SQL & Data Manipulation13 questions · ~184 min

Primary Key Column CheckMedium

Practice

Determine which metadata columns belong to primary key constraints using PostgreSQL catalog-style tables.

Joinsdata verificationsql

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Dimension Table TypesMedium

Practice

Explain common dimension table types, their SQL representation, and when each design is appropriate.

fact tablessqldatabase design

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Pipelines11 questions · ~156 min

CDCID Pipeline in SparkHard

Explain how to automate testing, packaging, deployment, and rollback for Spark workloads through CI/CD.

Infrastructuredata pipelinesBatch Processing

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Technical Fundamentals6 questions · ~85 min

AI vs Data Science vs Data EngineeringMedium

Evaluates your understanding of how data engineering differs from data science in responsibilities and outcomes.

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Behavioral & Leadership4 questions · ~57 min

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The finish line: interview-readyComplete all 50 questions to finish this plan.