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American Bureau Of Shipping Data Engineer Interview Questions

The questions to prepare for a American Bureau Of Shipping Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

20questions
~3htotal time
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1
PipelinesStart here. 9 questions · ~73 min
Handling Missing Data in PipelinesMedium

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

InfrastructureETLBatch ProcessingAmerican Bureau Of Shipping
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAmerican Bureau Of Shipping
Cloud Pipeline Data SecurityMedium

Key security considerations for a cloud data pipeline, from ingestion through storage, orchestration, and monitoring.

InfrastructureGovernanceETLAmerican Bureau Of Shipping
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2
Coding3 questions · ~24 min
Implementing a Basic Data TransformationEasy

Tests practical coding ability for transforming and preparing datasets.

Hash TablesArraysStringsAmerican Bureau Of Shipping
Aggregating Data by MonthEasy

Tests ability to write correct data aggregation logic over tabular data.

Hash TablesArraysStringsAmerican Bureau Of Shipping
Deduplicating Records by CriteriaMedium

Tests data cleaning skills and correct handling of duplicates and keys.

Hash TablesArraysSortingAmerican Bureau Of Shipping
3
Behavioral & Leadership6 questions · ~49 min
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4
More topics2 questions · ~16 min
Optimize Slow SQL QueriesMedium

Tests query tuning skills, including indexing, execution plans, and rewriting strategies.

SubqueriesJoinsAggregationsAmerican Bureau Of Shipping
SQL vs NoSQL for Go-to-Market DataEasy

Explain how SQL and NoSQL differ in schema, consistency, scaling, and Demandbase-style analytics use cases.

JoinsData WranglingAmerican Bureau Of Shipping

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Second Highest Without AggregatesHard
Practice
Practice drill

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsCredit GenieDevoteamCisco Restaurant + Bar
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
The finish line: interview-readyComplete all 20 questions plus 3 hands-on drills to finish this plan.