Thiết kế và bảo trì pipeline ETL/ELT mở rộng được vào Data Warehouse/Data Lake
Thiết kế data model theo logic nghiệp vụ, cộng tác với Product Owner về roadmap
Tối ưu luồng dữ liệu và Vector Database cho dự án AI Multi-Agent và OCR
Giám sát hiệu năng hệ thống dữ liệu và triển khai kiểm tra chất lượng, PCI-DSS
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
ABOUT URBOX
UrBox is Vietnam’s leading digital gifting & loyalty platform that enables businesses to integrate their reward & loyalty programs with an ever-growing network of more than 350 brands & 20,000 accepted online and offline stores in Vietnam.
UrBox has the widest network of clients in loyalty in Vietnam and provides loyalty & reward solutions to many big organizations in the aviation, banking, FMCG, Insurance, Real Estate industries and more.
KEY RESPONSIBILITIES:
Data Architecture & Pipeline Engineering: Design, develop, and maintain scalable ETL/ELT pipelines to move and transform data from disparate sources into our Data Warehouse/Data Lake.
Product-Centric Data Modeling: Collaborate closely with Product Owners to understand feature roadmaps and design data models that align with business logic and user needs.
AI & Innovation Support: Optimize data flows and Vector Databases to support internal AI Multi-Agent projects and advanced OCR capabilities.
Performance Optimization: Monitor and tune data systems for maximum speed and reliability, ensuring low-latency access for product applications.
Governance & Security: Implement data quality checks and ensure compliance with high-level security standards (such as PCI-DSS) to protect user and partner data.
Cross-functional Collaboration: Work with Data Analysts to provide clean, structured datasets that drive product insights and informed decision-making.
REQUIREMENTS:
Programming Mastery: Proficiency in Python or Scala. Ability to write clean, production-grade, and testable code.
Data Ecosystem: Hands-on experience with SQL (PostgreSQL), NoSQL, and Big Data frameworks (e.g., Spark, Flink, Kafka).
