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Updated weekly · Last refresh Oct 17

SentiLink Data Engineer Interview Questions

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

16questions
~2htotal time
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1
PipelinesStart here. 6 questions · ~53 min
Fraud Detection Batch vs StreamingMedium

Design a fraud pipeline that compares batch, streaming, and hybrid architectures for 120K tx/sec with sub-300 ms decisions and reconciled hourly tables.

Stream ProcessingETLBatch ProcessingSentiLink
Design Real-Time Feature PipelineHard

Design a real-time feature pipeline processing 120K events/sec into low-latency feature tables and warehouse models with replay and quality controls.

InfrastructureStream ProcessingOrchestrationSentiLink
Scaling Data Pipelines EffectivelyMedium

Approach for building data pipelines that scale in throughput, reliability, and operational visibility.

InfrastructureETLSentiLink
Multi-Tenant Fraud Monitoring SchemaHard

Evaluates your data modeling for scalable, tenant-isolated fraud monitoring.

schema designSentiLink
Distributed Consistency and QualityMedium

Assesses strategies for maintaining correctness and quality across distributed pipeline components.

Data Qualitydistributed systemsdata consistencySentiLink
Schema Evolution Without DowntimeHard

Tests your ability to evolve schemas safely while keeping production pipelines running.

production environmentschema evolutionSentiLink
2
Behavioral & Leadership9 questions · ~79 min
Explaining Technical Complexity SimplyMedium

Tests technical communication and stakeholder influence: can you translate complexity into clear business decisions for non-technical audiences?

Stakeholder ManagementCommunicationtechnical experienceSentiLink
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3
More topics1 question · ~9 min
Optimizing Slow SQL QueriesHard
Practice

Optimize a PostgreSQL transaction query that filters, aggregates, ranks, and returns top merchants efficiently on large tables.

Performance Tuningdatabase optimizationlarge datasetsSentiLink

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Optimizing Slow SQL QueriesMedium
Practice
Practice drill

Optimize a PostgreSQL aggregation query for active accounts while preserving date filtering, joins, and usage thresholds.

Performance Tuningdatabase optimizationlarge datasetsIBM
Optimize Large-Scale QueriesMedium
Practice
Practice drill

Optimize a PostgreSQL query over millions of event rows using selective predicates, indexing, joins, and latest-row selection.

Performance Tuningdatabase optimizationlarge datasetsOktaErnst & Young
The finish line: interview-readyComplete all 16 questions plus 2 hands-on drills to finish this plan.