Top 27
Prep plan
Updated weekly · Last refresh Aug 30

GitLab Data Engineer Interview Questions

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

27questions
~4htotal time
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1
SQL & Data ManipulationStart here. 13 questions + 2 drills · ~130 min
Top Customers by Sales RevenueEasy
Practice

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsGitLab
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 ModelingGitLab
Optimizing Large Transaction Table JoinsHard

Explain how to tune a slow PostgreSQL query that joins several large transaction tables using indexes, join strategy, and partitioning.

JoinsperformancesqlGitLab
SQL Retention Query for Premium UsersHard
Practice
Practice drill

Calculate GitLab Premium user week-over-week retention using joins, CTEs, date bucketing, and the LEAD window function.

Window FunctionsDate FunctionsJoinsGitLab
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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2
Pipelines10 questions · ~84 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityGitLab
Pipeline Alerting and Monitoring DesignMedium

Set up pipeline monitoring and alerting that catches critical failures quickly while limiting noisy alerts.

InfrastructureToolsQualityGitLab
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingGitLab
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3
Behavioral & Leadership3 questions · ~25 min
Learning to Improve Data SkillsEasy

Tests your learning habits and commitment to improving data engineering skills.

continuous learningGitLab
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4
More topics1 question · ~8 min
Detecting Duplicates in DataEasy

Tests coding ability for data quality logic and algorithmic correctness.

Hash TablesArraysGitLab
The finish line: interview-readyComplete all 27 questions plus 2 hands-on drills to finish this plan.