Korean Native - Data Engineer ー韓国語ネイティブ採用中

Key Responsibilities

• Data pipeline development: Design, build, and maintain ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouses) to ingest, transform, and serve data from internal and external sources
• Power BI analytics: Develop and optimize Power BI semantic models, DAX measures, and reports supporting commercial analytics (e.g., sales dashboards, HCP engagement tracking, inventory monitoring)
• AI data integration: Build and maintain MCP (Model Context Protocol) server integrations to connect enterprise data sources with AI solutions such as Copilot and Claude, enabling AI-assisted analytics and decision support
• Data governance: Support data quality, lineage documentation, and compliance with data governance standards including data inventory and validation requirements
• Cross-functional collaboration: Work closely with business stakeholders, IT teams, and global data platform teams to translate data requirements into technical solutions and ensure alignment with enterprise architecture

Required Qualifications

• Experience: 3–5 years of hands-on data engineering experience, including ETL pipeline development, data modeling, and analytics platform support
• Technical skills: Proficiency in Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, SQL Analytics Endpoint), Power BI (semantic models, DAX, Power Query M), and SQL. Experience with Python for data transformation is a plus
• AI integration: Demonstrated experience or strong familiarity with MCP server architecture and integrating structured data sources with AI platforms (e.g., Copilot, Claude, or similar LLM-based tools)
• Domain background: Prior experience in the pharmaceutical or healthcare industry preferred; familiarity with commercial data (sales, HCP, consent) is an advantage
• Language: Native Korean speaker with fluent English (business-level written and verbal communication required)
• Location: Prefer to work on-site