[Publishing Platform Div.] Software Engineer, Data Engineering (7년 이상)

크래프톤은 차별화된 크리에이티브를 가진 글로벌 제작 스튜디오들과 고유한 즐거움이 있는 게임을 발굴하여 전 세계에 퍼블리싱합니다.

우리는 지속적인 도전과 새로운 기술로 게임의 즐거움을 혁신하고, 더 많은 팬들에게 사랑받을 수 있도록 플랫폼과 서비스를 확장합니다.

우리는 열정과 의지를 지닌 동료들과 함께 성장하며, 글로벌 시장에서 인정받는 게임의 명가로 나아가고 있습니다.

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.

우리 팀(프로젝트)을 소개합니다. 

The Data Intelligence Team builds scalable and reliable data systems that collect, process, and serve data across the KRAFTON Publishing Platform. We enable data-driven features such as recommendations, dashboards, and segmentation at the intersection of game and platform services, enhancing both the quality and operational efficiency of publishing platform services.We are looking for someone who can design and operate complex real-time and batch data pipelines with scalability in mind, and collaborate with analysts and engineers to deliver tangible impact to the publishing platform.

우리 팀과 함께할 미션을 소개합니다.

• Design and optimize data platform architecture to reliably collect, process, and serve data across the Publishing Platform.
• Develop and operate backend systems that support various service needs in both real-time and batch environments, with scalability and reliability in mind.
• Design and optimize ingestion pipelines for collecting and processing data from external sources such as community platforms, social media, and 3rd party APIs.
• Build flexible and reliable data workflows in a Databricks.
• Collaborate with analysts and software engineers to deliver real-time and non-real-time data required for insights and feature development in the Publishing Platform.
• Design and improve data models, storage structures, and serving systems.
• Continuously improve data engineering processes and contribute to establishing technical standards and best practices within the team.
• Maintain and operate CI/CD pipelines and documentation

이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)

Qualifications

• 4+ years of experience designing and developing production-level backend services in a cloud environment.
• 4+ years of hands-on experience with Python (or a similar scripting language).
• 4+ years of experience with Apache Spark.
• Experience building real-time or near-real-time data pipelines.
• Deep understanding of modern data stack and cloud-based architectures.
• Bilingual in English & Korean.

Skills

• Strong debugging, testing, and problem-solving skills with a logical and proactive mindset.
• Effective communication skills and ability to collaborate across diverse teams.
• Ability to define priorities and manage multiple projects simultaneously when needed.
• Critical thinking and a solution-oriented approach to complex problems.
• Passion for learning and adopting new technologies.

이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)

• Experience with data platforms such as Databricks or Snowflake.
• Experience building and optimizing user-facing services in Kubernetes-based environments.
• Hands-on experience collecting and processing large-scale data from social media, community platforms, and 3rd party sources.
• Experience designing and managing terabyte or petabyte scale data warehouses.
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