Senior Data Engineer

📋 Description

• Routine Data Support: Leverage big data technologies to build a structured data delivery system for
• Analytics System Development: Develop analytical systems and monitoring dashboards for business
• Data Asset Governance: Author application-layer data warehouse documentation, establish field-level
• Data Agent Development: Build data agents (e.g., MCP Skills) to automate data retrieval and
• Data Sourcing & Procurement: Build efficient, real-time data collection systems to scrape or

🎯 Requirements

• Strong Python skills for data analysis and modeling (Pandas, NumPy, Scikit-learn, Matplotlib
• Proficient with big data frameworks (Spark, Hadoop) and large-scale data processing; familiar with
• Strong SQL skills, capable of complex queries and data modeling independently.
• Experienced with AI coding tools (e.g., Codex, Claude Code, Kilo Code); able to integrate AI into
• Familiar with Git and standard version control practices.
• Working knowledge of Java and mainstream frameworks (e.g., Spring / Spring Boot), and of

🎁 Benefits

• Study Growth Fund: We support your professional development and continuous learning.
• Internal Events: Participate in regular team-building activities, workshops, and events designed to
• Global Collaboration: Be part of a diverse, international team, working alongside colleagues from
• Career Advancement: Access opportunities for growth and advancement within a rapidly expanding
• Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal