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Job Description

Krafton, a global publisher of games with unique creative studios, is seeking a Software Engineer, Data Engineering, to join their Data Intelligence Team. This team focuses on building scalable and reliable data systems that collect, process, and serve data across the Krafton Publishing Platform. The ideal candidate will design and operate complex real-time and batch data pipelines, collaborating with analysts and engineers to enhance the quality and operational efficiency of publishing platform services.

The role involves designing and optimizing data platform architecture, developing backend systems for real-time and batch environments, and building flexible data workflows in Databricks. The engineer will also design ingestion pipelines for external data sources and improve data models and storage structures.

Responsibilities include:

  • Designing and optimizing data platform architecture
  • Developing and operating backend systems
  • Designing and optimizing ingestion pipelines
  • Building flexible data workflows in Databricks
  • Collaborating with analysts and software engineers
  • Designing and improving data models
  • Continuously improving data engineering processes
  • Maintaining and operating CI/CD pipelines and documentation

Requirements:

  • 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

Krafton offers:

  • Opportunity to work on data-driven features such as recommendations, dashboards, and segmentation
  • A collaborative environment with diverse teams
  • A chance to contribute to establishing technical standards and best practices
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