Top 27
Prep plan
Updated weekly · Last refresh Oct 16

Akamai Data Engineer Interview Questions

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

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1
CodingStart here. 8 questions · ~103 min
Longest Subarray With Target SumMedium
Practice

Use prefix sums and a hash table to find the longest continuous subarray with a given sum in O(n) time.

Hash TablesArraysSearchingAkamai
Detect Cycle in Linked ListEasy
Practice

Use Floyd’s two-pointer algorithm to determine whether a singly linked list contains a cycle.

Hash TablesLinked ListsTwo PointersAkamai
Top IPs from Server LogsEasy
Practice

Count IP frequencies from log lines with a hash map and return the top 10 using sorting by count and lexicographic tie-break.

bashfrequency countpythonAkamai
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2
SQL & Data Manipulation6 questions + 1 drill · ~87 min
Clustered vs Non-Clustered IndexesMedium

Explain how clustered and non-clustered indexes differ in storage, lookup behavior, and query performance.

JoinsData WranglingAkamai
SQL Joins in ScenariosMedium
Practice

Combine property and request data to report successful request counts and bytes, including properties with no matching requests.

null handlingJoinssqlAkamai
Optimize Slow SQL at ScaleHard
Practice

Optimize a large-scale Akamai analytics query that ranks hourly request paths and compares each path with its previous hour.

Performance Tuningdatabase optimizationlarge datasetsAkamai
Top Servers Per RegionMedium
Practice
Practice drill

Use window functions to return the three highest-traffic Akamai servers within each region.

Window FunctionsJoinsData ManipulationAkamai
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3
Pipelines6 questions · ~77 min
ETL Design for Continuously Changing DataHard

Design an incremental ETL process for changing data with validation, deduplication, schema evolution, recovery, and observable quality checks.

Data Qualitydata pipelineschema designAkamai
Partitioning and Sharding StrategyHard

Design partitioning and sharding for Akamai-scale distributed database pipelines while controlling skew, hotspots, consistency, and rebalancing risk.

distributed computingdata skewnessdistributed databasesAkamai
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4
Behavioral & Leadership7 questions · ~90 min
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The finish line: interview-readyComplete all 27 questions plus 1 hands-on drill to finish this plan.