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Royal Caribbean Group Data Engineer Interview Questions

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

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1
SQL & Data ManipulationStart here. 25 questions + 2 drills · ~226 min
Daily Ship Venue Booking TotalsEasy
Practice

Aggregate one table by booking day, ship, and venue using GROUP BY and date filtering.

Date FunctionsGroup ByAggregationsRoyal Caribbean Group
Combine Multi-Source Operational DataEasy

Explain how UNION and UNION ALL combine operational data from multiple sources and when each should be used.

JoinsData WranglingUnionsRoyal Caribbean Group
Compare Periods with LAG and LEADMedium

Explain how LAG and LEAD compare current rows to previous or next periods in time-series SQL analysis.

Window FunctionsLag/LeadDate FunctionsRoyal Caribbean Group
Star vs Snowflake for Meta AnalyticsEasy

Explain star and snowflake schemas, their tradeoffs, and when to use each in Meta-scale analytics systems.

Royal Caribbean Group
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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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2
Pipelines25 questions · ~206 min
Choose Delta for Lakehouse PipelinesEasy

Design a Databricks lakehouse pipeline and defend choosing Delta Lake over Iceberg and Hudi for mixed batch and streaming workloads.

Royal Caribbean Group
Implement CI/CD for Data PipelinesEasy

Design a CI/CD system for Airflow, dbt, and Spark pipelines with automated testing, safe promotion, rollback, and post-deploy data quality checks.

InfrastructureSchedulingOrchestrationRoyal Caribbean Group
Real-Time Dashboard Pipeline DesignHard

Approach for building near-real-time dashboard pipelines with streaming, orchestration, and data quality controls.

Stream ProcessingSchedulingDependenciesRoyal Caribbean Group
Fault Tolerance in Data PipelinesHard

Approach for building fault tolerance into a distributed data pipeline, including retries, idempotency, and recovery controls.

InfrastructureIdempotencyQualityRoyal Caribbean Group
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