Mid
Google engineer building self-serve data pipelines and infrastructure for the Payments (Google Pay) data platform
This role sits on Google's Payments team, building and evolving the core data infrastructure — the 'Golden Data Pipeline' (GDP) — that underpins consumer payments products like Autofill, tap-to-pay, and Google Pay, focused on data reliability, scalability, and compliance for product and analyst teams. Minimum qualifications ask for 2 years of software development experience with large-scale data processing and distributed systems, putting this at a mid-level IC bar.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
可能的面试形态
Google's standard SWE loop: phone screen(s) with coding, followed by onsite rounds covering coding, system/data design, and Googleyness/leadership behavioral interviews, per Google's well-known public process.
这场面试考什么
- Distributed data pipeline design and large-scale data processing
- Data reliability, scalability, and compliance in a payments context
- End-to-end ownership: scoping ambiguous problems into solutions
- Cross-functional collaboration with PMs, data scientists, analysts
- Identifying and resolving technical debt in existing systems
常见提问方向
Design a self-serve data pipeline/platform for analysts and product teams
General coding/algorithms round in C++, Java, Python, or Go
How to ensure data reliability and compliance for sensitive (payments) data
A time you took a technical problem from ideation through to a delivered solution
Working with non-engineering stakeholders (PM, data scientist) to define data requirements
Googleyness/behavioral: navigating ambiguity, driving without authority
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