Sr. AI Data Pipeline Specialist

Responsibilities

• Design and research data pipeline architectures optimized for AI (LLM, RAG systems)
• Develop preprocessing and processing methodologies for large-scale unstructured data (Wiki, Slack, documents)
• Establish data quality analysis, monitoring metrics, and governance standards
• Research and propose Modern Data Stack technologies and implementation strategies
• Design and implement ETL/ELT pipelines and Data Warehouse/Data Lake architectures
• Design automation for pipeline stability and establish incident response systems

Requirements

• 7+ years of professional experience in data engineering
• Proficiency in Python and SQL for data processing and pipeline architecture design
• Deep understanding of cloud environments (AWS, GCP)
• Professional expertise in distributed processing and orchestration tools (Airflow, Spark, Kafka)
• Deep understanding of database structures (RDBMS, NoSQL, DW)
• Ability to travel overseas if required

Preferred Qualifications

• Experience with data preprocessing for LLM/RAG and Vector DBs (Milvus, Pinecone)
• Experience collecting and parsing large-scale unstructured data from Confluence or Slack
• Experience building new data platforms from scratch (Zero to One)
• Strong interest in AI technology trends and the Modern Data Stack

About the Company

Krafton is a global gaming company dedicated to creating unforgettable worlds for fans through bold imagination and breakthrough technology.