[Intern] 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 distill a vague governance pain point into a defined problem with
• Self-driven and comfortable with ambiguity — this is an exploratory project with no predetermined
• Bonus: experience with DataHub / OpenMetadata / Atlas, dbt, Great Expectations / Deequ, or a metric

🎁 Benefits

• Study Growth Fund: supports professional development and continuous learning.
• Internal Events: participate in regular team-building activities, workshops, and events.
• Global Collaboration: be part of a diverse international team.
• Career Advancement: access opportunities for growth within a global company.
• Internal Mobility: internal job opportunities to help build career path.