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Two things in one place: round-by-round preparation for every kind of data-engineering interview, and 50 company playbooks standardised from real candidate reports — each round, its questions, and how to prepare.
Live coding, system design, take-homes, behavioral storytelling, and follow-up — what each round is really testing, how to prepare, and the mistakes that fail candidates.
The first filter: motivation, level fit, and a quick read on whether your projects match the role before any code is written.
The most common technical filter for data engineers — window functions and analytical SQL, plus practical Python/PySpark under time pressure.
Designing batch and streaming data pipelines end to end: ingestion, storage, processing, serving, and the failure paths in between.
Build or debug a small pipeline on your own time — judged on correctness, tests, documentation, and the decisions you can defend.
A bank of nine true stories, told in STAR with a number at the end, mapped to the questions interviewers actually ask and to Amazon’s Leadership Principles.
The final stretch: hiring-manager and leadership conversations, recovering from a weak answer, and handling the offer.
50 companies, standardised into the same shape: hiring flow, every round with its reported questions, system-design prompts, rejection patterns, prep priorities, and sources.
Sector
E-commerce / cloud / advertising
5 rounds documented
Internet / cloud / advertising
5 rounds documented
Social media / advertising
5 rounds documented
Cloud / enterprise software
4 rounds documented
Consumer hardware / software / services
4 rounds documented
Streaming / entertainment
4 rounds documented
Professional network / SaaS (Microsoft)
4 rounds documented
GPUs / AI compute / data center
3 rounds documented
Creative & digital-experience software
4 rounds documented
Enterprise SaaS / CRM
3 rounds documented
Enterprise database / cloud
3 rounds documented
Enterprise software / data platforms
3 rounds documented
Enterprise IT / consulting / cloud
3 rounds documented
SaaS / developer & collaboration tools
4 rounds documented
Enterprise workflow / ITSM SaaS
3 rounds documented
Data analytics / government / enterprise
4 rounds documented
SaaS suite (CRM, Analytics)
3 rounds documented
Sector
Data + AI platform (Lakehouse)
4 rounds documented
Cloud data platform / warehouse
4 rounds documented
Data streaming platform (Apache Kafka)
3 rounds documented
Document database / cloud (Atlas)
3 rounds documented
Observability / monitoring SaaS
3 rounds documented
Internet infrastructure / CDN / security
3 rounds documented
Sector
Fintech / SaaS (TurboTax, QuickBooks)
4 rounds documented
Investment banking / financial services
3 rounds documented
Banking / financial services
4 rounds documented
Investment banking / wealth management
4 rounds documented
Payments / financial services
3 rounds documented
Financial services / payments
2 rounds documented
Stock exchange / market technology
3 rounds documented
Financial data / analytics
4 rounds documented
Payments / fintech (India)
3 rounds documented
Payments / fintech (India)
3 rounds documented
Payments / fintech (India)
3 rounds documented
Payments infrastructure / fintech
3 rounds documented
Sector
Travel / marketplace
4 rounds documented
Mobility / marketplace
3 rounds documented
Online travel / marketplace
4 rounds documented
E-commerce / home goods
4 rounds documented
Retail / e-commerce
3 rounds documented
E-commerce (India)
4 rounds documented
Social commerce (India)
3 rounds documented
Fashion e-commerce (India)
3 rounds documented
Food / grocery delivery (India)
3 rounds documented
Sector
OTT streaming at massive concurrency
4 rounds documented
Media / streaming (Max/HBO)
3 rounds documented
Telecom / media / streaming
3 rounds documented
Telecom (US)
3 rounds documented
Networking / security / collaboration
4 rounds documented
Telecom / digital platforms (India)
3 rounds documented