[Publishing Platform Div.] Data Engineer (5๋…„ ์ด์ƒ)

Seoul

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KRAFTON

Create the original. Connect the world. ํฌ๋ž˜ํ”„ํ†ค ๊ณต์‹ ์›น์‚ฌ์ดํŠธ์ž…๋‹ˆ๋‹ค.

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ํฌ๋ž˜ํ”„ํ†ค์€ ์ฐจ๋ณ„ํ™”๋œ ํฌ๋ฆฌ์—์ดํ‹ฐ๋ธŒ๋ฅผ ๊ฐ€์ง„ ๊ธ€๋กœ๋ฒŒ ์ œ์ž‘ ์ŠคํŠœ๋””์˜ค๋“ค๊ณผ ๊ณ ์œ ํ•œ ์ฆ๊ฑฐ์›€์ด ์žˆ๋Š” ๊ฒŒ์ž„์„ ๋ฐœ๊ตดํ•˜์—ฌ ์ „ ์„ธ๊ณ„์— ํผ๋ธ”๋ฆฌ์‹ฑํ•ฉ๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ์ง€์†์ ์ธ ๋„์ „๊ณผ ์ƒˆ๋กœ์šด ๊ธฐ์ˆ ๋กœ ๊ฒŒ์ž„์˜ ์ฆ๊ฑฐ์›€์„ ํ˜์‹ ํ•˜๊ณ , ๋” ๋งŽ์€ ํŒฌ๋“ค์—๊ฒŒ ์‚ฌ๋ž‘๋ฐ›์„ ์ˆ˜ ์žˆ๋„๋ก ํ”Œ๋žซํผ๊ณผ ์„œ๋น„์Šค๋ฅผ ํ™•์žฅํ•ฉ๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ์—ด์ •๊ณผ ์˜์ง€๋ฅผ ์ง€๋‹Œ ๋™๋ฃŒ๋“ค๊ณผ ํ•จ๊ป˜ ์„ฑ์žฅํ•˜๋ฉฐ, ๊ธ€๋กœ๋ฒŒ ์‹œ์žฅ์—์„œ ์ธ์ •๋ฐ›๋Š” ๊ฒŒ์ž„์˜ ๋ช…๊ฐ€๋กœ ๋‚˜์•„๊ฐ€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ย  ย  KRAFTON is dedicated to identifying and publishing games worldwide that offer a uniquely enjoyable experience, crafted by our globally recognized production studios known for their distinctive creativity. We continuously push the boundaries of gaming enjoyment by embracing new challenges and technologies, expanding our platforms and services to captivate an even larger fan base. In collaboration with our passionate and driven team, we strive to establish ourselves as a renowned creator of masterpieces in the global gaming market. ย 

์šฐ๋ฆฌ ํŒ€(ํ”„๋กœ์ ํŠธ)์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค.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 dataโ€”including gameplay logs, platform service logs, and data from external APIsโ€”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. Weโ€™re looking for someone who enjoys collaborative problem-solving and is not limited by role or technical boundaries.ย 

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์šฐ๋ฆฌ ํŒ€๊ณผ ํ•จ๊ป˜ํ•  ๋ฏธ์…˜์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค.

  • 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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์ด๋Ÿฐ ๊ฒฝํ—˜์„ ๊ฐ€์ง„ ๋ถ„๊ณผ ํ•จ๊ป˜ ์„ฑ์žฅํ•˜๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค! (ํ•„์ˆ˜์š”๊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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์ด๋Ÿฐ ๊ฒฝํ—˜๋“ค์ด ์žˆ๋‹ค๋ฉด ์ €ํฌ๊ฐ€ ์ฐพ๋Š” ๊ทธ ๋ถ„์ž…๋‹ˆ๋‹ค! (์šฐ๋Œ€์š”๊ฑด)

  • 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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ํฌ๋ž˜ํ”„ํ†ค์˜ ๋„์ „์— ํ•จ๊ป˜ ํ•˜๊ธฐ ์œ„ํ•ด ์•„๋ž˜์˜ ์ „ํ˜• ๊ณผ์ •์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

  • ์„œ๋ฅ˜ ์ „ํ˜• > *๊ณผ์ œ ์ „ํ˜• > ์‹ค๋ฌด ๋ฉด์ ‘ (Technical Fit Interview) > ์ตœ์ข… ๋ฉด์ ‘ (Culture Fit Interview) > ํ•ฉ๊ฒฉ ๋ฐ ์ž…์‚ฌ
  • *ํ•ด๋‹น ์ ˆ์ฐจ๋Š” ๊ฐ ํฌ์ง€์…˜ ๋ฐ ํ›„๋ณด์ž์— ๋”ฐ๋ผ ๋ณ€๋™์ด ์žˆ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ƒ์‹œ ์ฑ„์šฉ์œผ๋กœ ์ฑ„์šฉ ์™„๋ฃŒ ์‹œ ์กฐ๊ธฐ ๋งˆ๊ฐ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ํ•„์š” ์‹œ, ์ธํ„ฐ๋ทฐ ๋ฐ ์ง๋ฌด ํ…Œ์ŠคํŠธ๊ฐ€ ์ถ”๊ฐ€๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ „ํ˜• ์ผ์ • ๋ฐ ํ•ฉ๊ฒฉ ๋˜๋Š” ๋ถˆํ•ฉ๊ฒฉ ๊ฒฐ๊ณผ๋Š” ์ง€์›์„œ์— ๋“ฑ๋กํ•˜์‹  ์ด๋ฉ”์ผ ๋˜๋Š” ์œ ์„ ์œผ๋กœ ๊ฐœ๋ณ„ ์•ˆ๋‚ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

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ํ•„์š” ์„œ๋ฅ˜๋ฅผ ํ™•์ธํ•ด์ฃผ์„ธ์š”!

  • ์ž…์‚ฌ์ง€์›์„œ (์ž์œ  ์–‘์‹), ์ž๊ธฐ์†Œ๊ฐœ์„œ, ๊ฒฝ๋ ฅ๊ธฐ์ˆ ์„œ
  • ์‹ ์ž…์ผ ๊ฒฝ์šฐ ์ž๊ธฐ์†Œ๊ฐœ์„œ๋ฅผ, ๊ฒฝ๋ ฅ์ผ ๊ฒฝ์šฐ ๊ฒฝ๋ ฅ๊ธฐ์ˆ ์„œ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๊ธฐ์ˆ ํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
  • ํฌํŠธํด๋ฆฌ์˜ค ์ฒจ๋ถ€ ์‹œ, ํ•˜๋‹จ ์•ˆ๋‚ด ์‚ฌํ•ญ์„ ํ™•์ธํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.ย 

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๊ทผ๋ฌด์ง€

  • ์—ญ์‚ผ ์„ผํ„ฐํ•„๋“œย 

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๊ณ ์šฉํ˜•ํƒœย 

  • ์ •๊ทœ์งย 

ย 

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์•„๋ž˜ ์•ˆ๋‚ด ์‚ฌํ•ญ์„ ํ™•์ธํ•ด์ฃผ์„ธ์š”!

  • ์žฅ์• ์ธ ๋ฐ ๊ตญ๊ฐ€ ์œ ๊ณต์ž ๋“ฑ ์ทจ์—… ๋ณดํ˜ธ ๋Œ€์ƒ์ž๋Š” ๊ด€๊ณ„ ๋ฒ•๋ น์— ๋”ฐ๋ผ ์šฐ๋Œ€ํ•ฉ๋‹ˆ๋‹ค.
  • ์ง€์›์„œ ๋‚ด์šฉ ์ค‘ ํ—ˆ์œ„์‚ฌ์‹ค์ด ์žˆ๋Š” ๊ฒฝ์šฐ์—๋Š” ํ•ฉ๊ฒฉ์ด ์ทจ์†Œ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ฑ„์šฉ ์ „ํ˜• ์ค‘ ๊ถ๊ธˆํ•˜์‹  ์‚ฌํ•ญ์€ ํฌ๋ž˜ํ”„ํ†ค ์ฑ„์šฉ FAQ ๋‚ด์—์„œ ํ™•์ธํ•˜์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

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BE BOLD, LEARN AND WIN! ํฌ๋ž˜ํ”„ํ†ค์˜ ์„ฑ์žฅ๊ณผ ๋„์ „์˜ ์Šคํ† ๋ฆฌ๋ฅผ ์•Œ์•„๊ฐ€๊ณ  ์‹ถ๋‹ค๋ฉด?ย 

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 KRAFTONโ€™s growth and adventure stories?

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index ๐Ÿ’ฐ

Job stats:  1  0  0
Category: Engineering Jobs

Tags: APIs AWS Azure CI/CD Databricks Data pipelines Data quality GCP Grafana Kafka Kinesis Kubernetes Pipelines Snowflake Spark Streaming Terraform

Region: Asia/Pacific
Country: South Korea

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