[Publishing Platform Div.] Data Engineer (5๋ ์ด์)
Seoul
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KRAFTON
Create the original. Connect the world. ํฌ๋ํํค ๊ณต์ ์น์ฌ์ดํธ์ ๋๋ค.์ฐ๋ฆฌ ํ(ํ๋ก์ ํธ)์ ์๊ฐํฉ๋๋ค.ย
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 dataโincluding gameplay logs, platform service logs, and data from external APIsโthrough 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. Weโre looking for someone who enjoys collaborative problem-solving and is not limited by role or technical boundaries.ย
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์ฐ๋ฆฌ ํ๊ณผ ํจ๊ปํ ๋ฏธ์ ์ ์๊ฐํฉ๋๋ค.
- 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
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์ด๋ฐ ๊ฒฝํ์ ๊ฐ์ง ๋ถ๊ณผ ํจ๊ป ์ฑ์ฅํ๊ณ ์ถ์ต๋๋ค! (ํ์์๊ฑด)
- 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
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์ด๋ฐ ๊ฒฝํ๋ค์ด ์๋ค๋ฉด ์ ํฌ๊ฐ ์ฐพ๋ ๊ทธ ๋ถ์ ๋๋ค! (์ฐ๋์๊ฑด)
- 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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ํฌ๋ํํค์ ๋์ ์ ํจ๊ป ํ๊ธฐ ์ํด ์๋์ ์ ํ ๊ณผ์ ์ด ํ์ํฉ๋๋ค.
- ์๋ฅ ์ ํ > *๊ณผ์ ์ ํ > ์ค๋ฌด ๋ฉด์ (Technical Fit Interview) > ์ต์ข ๋ฉด์ (Culture Fit Interview) > ํฉ๊ฒฉ ๋ฐ ์ ์ฌ
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์๋ ์๋ด ์ฌํญ์ ํ์ธํด์ฃผ์ธ์!
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BE BOLD, LEARN AND WIN! ํฌ๋ํํค์ ์ฑ์ฅ๊ณผ ๋์ ์ ์คํ ๋ฆฌ๋ฅผ ์์๊ฐ๊ณ ์ถ๋ค๋ฉด?ย
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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 KRAFTONโs growth and adventure stories?
* Salary range is an estimate based on our AI, ML, Data Science Salary Index ๐ฐ
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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