Big Data Development Engineer Intern

📋 Description

• Research & Benchmarking — Survey industry and open-source approaches in AI + data governance
• Data Model Governance — Build AI-assisted model review capabilities: naming convention and layering
• Metric Semantic Automation — Automatically extract and standardize metric definitions from SQL
• Data Quality Automation — Auto-generate quality rules based on data profiling and lineage
• MVP Delivery — Run at least one end-to-end implementation across the three areas: problem
• Documentation & Communication — Produce solution designs, evaluation methodologies, and

🎯 Requirements

• Undergraduate or graduate student in Computer Science, Data Science, Statistics, or a related field.
• Solid proficiency in SQL and Python. Understanding of data warehouse fundamentals — dimensional
• Hands-on experience with LLM application development: prompt engineering, RAG, Agent / tool-calling
• Structured thinking: able to transform a vague governance pain point into a well-defined problem
• Self-driven and comfortable operating in an ambiguous, experimental environment.
• Strong sense of ownership for delivering an end-to-end outcome, with a focus on technical

🎁 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