Amazon Data Engineering interview questions
65 interview questions for Data Engineering roles at Amazon, written from Amazon’s 8 current postings on its own careers page. These are what the postings say to prepare for — not questions Amazon has asked.
Three of the questions
- Walk me through how you would design an ETL pipeline on AWS Glue and Redshift that consolidates finance data from 11 countries into a single unified dataset tracking 500+ operational and cost metrics at daily granularity. How would you structure it so that a new country can be onboarded without rewriting the pipeline?
- It's the morning before a weekly business review and the finance team's cost-performance dashboard is showing numbers that don't reconcile between finance, stores, and operations datasets. Walk me through how you'd triage this.
- These teams are actively migrating legacy systems to AWS and consolidating data from 11 countries and 100+ finance users. Tell me about a time you had to manage a complex data migration while keeping the old system running. What went wrong, and how did you handle it?
What the full prep holds
- Common questions
- Your background
- Quick-fire technical
- Technical depth
- System design
- Scenarios & troubleshooting
- The company & the problem
- Behavioural
- Questions to ask them
A free account shows the 8 common questions and the 3 above. Basic and Elite show every question with how to answer it; Elite also writes your own answers from your resume. See plans.
The Amazon postings it is written from
- Data Engineer I, Worldwide Operations Finance, WW Ops Finance S&A, WW Ops Finance S&A
- Data Engineer - Amazon Flex, Flex Analytics
- SDE II, Amazon India Ads
- Software Development Engineer, AWS DynamoDB
- Business Intelligence Engineer, eCS Data Engineering and Analytics
- Software Dev Engineer, Alexa Connections
- Software Development Engineer, Prime Video Live Events - Sports Data Platform
- Data Engineer II, SPIV Data Engineering