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Prep plan
Updated weekly · Last refresh Oct 17

Attentive Data Engineer Interview Questions

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

50questions
~8htotal time
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1
CodingStart here. 8 questions · ~80 min
Parsing Logs for Error CountsMedium
Practice

Parse timestamped log lines and aggregate ERROR entries by hour using a dictionary.

Hash TablesaggregationArraysAttentive
Detecting Duplicate SMS MessagesEasy
Practice

Use a hash set to identify SMS messages that have appeared earlier in the stream.

Hash TablesdeduplicationStringsAttentive
Merging and Deduplicating ProfilesMedium
Practice

Merge profile dictionaries by email using a hash map while preserving first-seen order and applying later field values.

Hash TablesdeduplicationArraysAttentive
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2
SQL & Data Manipulation16 questions + 1 drill · ~169 min
Aggregate Interactions By HourEasy
Practice

Count user interactions for each hour using PostgreSQL timestamp truncation and aggregation.

Date FunctionsGroup ByAggregationsAttentive
Compute Session Durations and GapsHard
Practice

Use window functions to calculate session length and flag user session gaps over 30 minutes.

sql queriesAttentive
Running Totals for Sales ReportingMedium

Explain how to calculate cumulative totals in SQL using window functions, ordering, and optional pre-aggregation.

Window FunctionsDate FunctionsRunning TotalsAttentive
Top Campaigns by Revenue Per ClientMedium
Practice
Practice drill

Write a query to find the top 3 performing marketing campaigns by revenue for each client in the last 30 days on Attentive. Use the provided client, campa...

Window FunctionsDate FunctionsJoinsAttentive
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3
Pipelines20 questions · ~199 min
Choose Kafka vs FlinkEasy

Design a streaming pipeline and justify when Kafka, Flink, or both should be used for ingestion, stateful processing, replay, and low-latency delivery.

Stream ProcessingOrchestrationDependenciesAttentive
Monitor a Mission Critical PipelineMedium

Design a monitoring and alerting approach for a mission critical pipeline, covering system health, data quality, and operational response.

InfrastructureToolsQualityAttentive
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4
Behavioral & Leadership6 questions · ~60 min
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.