[Publishing Platform Div.] Data Engineer (5년 이상)
Seoul
우리 팀(프로젝트)을 소개합니다.
The Data Platform Team at KRAFTON is responsible for collecting data generated from various games and publishing platforms, and for building and operating the infrastructure that reliably delivers this data.
We process a wide range of data—including gameplay logs, platform service logs, and data from external APIs—through both real-time and batch pipelines to support analytics and platform services.
We collaborate closely with game studios, platform engineers, analysts, and other cross-functional teams. We’re looking for someone who enjoys collaborative problem-solving and is not limited by role or technical boundaries.
우리 팀과 함께할 미션을 소개합니다.
- Design, develop, and operate streaming-based data pipelines that collect game and platform data
- Operate and manage multi-region / multi-cloud environments for Kubernetes-based infrastructure
- Standardize and automate data ingestion pipelines from third-party APIs and external platforms
- Develop and optimize real-time and batch workflows using Apache Spark
- Build and maintain admin tools and monitoring systems (e.g., Datadog, Grafana, Prometheus)
- Enhance system operations with a focus on data quality, idempotency, and service reliability
이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)
- 5+ years of experience operating Kubernetes-based services in AWS environments
- 3+ years of experience building and managing CI/CD pipelines in Kubernetes using tools such as ArgoCD and Atlas
- 3+ years of experience automating infrastructure using IaC tools such as Terraform
- Hands-on experience developing streaming or near real-time data pipelines using Kafka, Kinesis, or similar messaging systems
- Experience deploying and managing monitoring systems such as Datadog, Grafana, and Prometheus
- Competencies
- Interest in and ability to quickly learn and apply new technologies (e.g., AI, infrastructure, data)
- Strong communication skills to align priorities and requirements across diverse teams
- Ability to quickly troubleshoot and respond to incidents and system failures
- Experience designing and operating systems with reliability and scalability in mind
- Ability to communicate technical concepts effectively in both Korean and English
이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)
- Experience operating Kubernetes infrastructure in multi-region or multi-cloud environments (e.g., Azure, GCP)
- Practical experience with modern data platforms such as Databricks, Snowflake, or ClickHouse
- Experience reliably collecting and processing large-scale data from various sources
- Experience designing and operating backend services in production environments
- Experience ensuring operational reliability through SLA management, idempotent design, and incident recovery mechanisms
- A passion for games and a solid understanding of the gaming domain
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- 서류 전형 > *과제 전형 > 실무 면접 (Technical Fit Interview) > 최종 면접 (Culture Fit Interview) > 합격 및 입사
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- 필요 시, 인터뷰 및 직무 테스트가 추가될 수 있습니다.
- 전형 일정 및 합격 또는 불합격 결과는 지원서에 등록하신 이메일 또는 유선으로 개별 안내 드립니다.
필요 서류를 확인해주세요!
- 입사지원서 (자유 양식), 자기소개서, 경력기술서
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근무지
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고용형태
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- 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
- 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다.
BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면?
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- 크래프톤 공식 유튜브 채널
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Please check the information below
- Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws
- False statements in your resume may lead to the withdrawal of the employment offer
- Please contact career@krafton.com for other inquiries
BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure CI/CD Databricks Data pipelines Data quality GCP Grafana Kafka Kinesis Kubernetes Pipelines Snowflake Spark Streaming Terraform
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