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Updated weekly · Last refresh Oct 17

Demandbase Data Engineer Interview Questions

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

35questions
~5htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~54 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 ByAggregationsDemandbase
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 WranglingDemandbase
SQL Joins and AggregationsMedium
Practice
Practice drill

Join policy and ISO ClaimSearch claim data to aggregate claim counts and incurred losses by state and policy type.

JoinsGroup ByAggregationsVerisk AnalyticsMarshBroadridge Financial Solutions
Top Customers by Closed-Won SalesEasy
Practice
Practice drill

Find the top five customers by closed-won sales using joins, aggregation, and ordering in PostgreSQL.

RankingGroup ByAggregationsDemandbase
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2
Pipelines17 questions · ~143 min
Design CI/CD for Data PipelinesMedium

Design a CI/CD system for Airflow, dbt, Spark, and Kafka pipelines with automated testing, staged releases, rollback, and SOX-compliant auditability.

InfrastructureToolsOrchestrationDemandbase
Data Warehousing in PipelinesEasy

Explain what a data warehouse is and why it matters in analytics pipelines.

InfrastructureETLData ModelingDemandbase
Manage Pipeline Infrastructure as CodeEasy

Approach for managing data pipeline infrastructure as code, including orchestration, drift control, and operational monitoring.

InfrastructureToolsQualityDemandbase
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3
Coding6 questions · ~50 min
Breadth Across Data Engineering TopicsHard

Assesses your breadth across data engineering fundamentals and advanced tasks like deduplication and linkage.

distributed computingdata engineeringDemandbase
Coding: DAG Scheduling and CachesHard

Evaluates your problem-solving approach on complex data structures and scheduling-style coding challenges.

Data StructuresAlgorithmsDemandbase
Time Complexity in Data ProcessingEasy

Tests your ability to analyze algorithm efficiency and apply it to real data processing workloads.

Hash TablesSearchingSortingDemandbase
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4
Behavioral & Leadership8 questions · ~67 min
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The finish line: interview-readyComplete all 35 questions plus 2 hands-on drills to finish this plan.