이 공고, 이렇게 물어볼 겁니다
Q1
3년 이상의 백엔드 엔지니어링 경험에서, 가장 복잡한 시스템 아키텍처를 설계하고 구축한 사례를 하나 꼽아서 말씀해주세요.
🎯 시스템 아키텍처 설계 능력 확인
Q2
ETL/ELT 파이프라인 디자인과 오케스트레이션 경험에서, 데이터 가용성과 일관성을 보장하기 위한 구체적인 전략을 어떻게 수립했나요?
🎯 데이터 엔지니어링 전략 확인
Q3
PIPA 규정 준수를 위해, 데이터 처리 및 저장 시 어떤 구체적인 조치를 취했으며, 그 결과는 어떻게 확인하셨나요?
🎯 데이터 처리 및 저장 시 PIPA 규정 준수 확인
Q4
크로스펑셔널 팀과 협업하여 시스템 아키텍처를 설계하고 구축한 경험에서, 가장 어려웠던 부분은 무엇이었으며, 어떻게 해결했나요?
🎯 크로스펑셔널 팀 협업 능력 확인
Q5
AWS 데이터 레이크 아키텍처를 설계하고 구축할 때, 어떤 고려사항을 두고, 어떻게 기술적인 실행을 주도했나요?
🎯 AWS 데이터 레이크 아키텍처 설계 및 구축 능력 확인
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공고 내용
Korean text follows English
Company Introduction
Role Overview
We are hiring a Software Engineer to design and own Coupang's Global Mobility (GM) data infrastructure from the ground up. Operating within our HR organization, the GM team supports relocating international employees through immigration, housing, onboarding, and family integration (schools, healthcare, compliance).
You will work directly alongside our Director of Product Management to architect the data backbone that powers reporting, automation, and strategic HR operations for global talent across Korea, Taiwan, Japan, and beyond. You will define the architecture and own technical execution end-to-end.
What You Will Do
- Design a greenfield AWS Data Lake architecture, schema models, and data contracts with upstream HR/Talent systems while ensuring strict PIPA compliance.
- Consolidate disparate source system ETL pipelines (relocation, visa, vendor, payroll) into a unified, reliable architecture.
- Build multi-country logic and data routing engines for operations across Korea, Taiwan, and Japan.
- Power operational BI, analytical reporting, and process automation for GM, payroll, and compliance teams.
- Design data quality frameworks, validation rules, monitoring, and automated alerting for production pipelines.
- Own technical execution, infrastructure provisioning, tooling selection, ADRs, and operational runbooks while PM handles stakeholder communication.
- Balance short-term go-live urgency (Q3 target) with long-term architectural integrity and scalability.
Qualifications
- System Architecture: Proven track record designing, building, and operating complex systems end-to-end; ability to translate ambiguous business needs into concrete technical specifications for Year 1 and Year 2 scale
- Backend Engineering: 3+ years of production software engineering experience (SDE background required) with deep Python or Java expertise; strong AWS infrastructure (EC2, RDS, S3, Lambda, Glue) and database design skills.
- Data Engineering: 1+ years of ETL/ELT pipeline design and orchestration experience (Airflow, Temporal, or similar); expertise in dynamic schema design, data validation, and pipeline observability.
- Collaboration: Strong partnership skills with PMs and cross-functional teams; proactive in surfacing blockers, proposing solutions, and maintaining thorough technical documentation.
- Compliance Governance: Understanding of data governance, privacy standards, and stakeholder navigation across cross-functional priorities
Preferred Qualifications
- Prior experience handling sensitive Personally Identifiable Information (PII) and compliance standards.
- Experience with Coupang tech stack or multi-region system deployments.
- Track record of taking technical projects from greenfield to production end-to-end.
- Openness to tool-mediated or asynchronous non-English technical communication.
Recruitment Process and Others
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Hiring may be restricted in case the legal qualificatio
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