Tham gia đào tạo và hỗ trợ xây dựng data model, feature store pipeline, data lakehouse cho ML và analytics.
Trách nhiệm
Học và thực hành data engineering qua các buổi đào tạo
Xây dựng data model cho Gamification, Promotions, Marketing analytics
Phát triển và duy trì feature store pipeline phục vụ ML Engineering
Hợp tác thiết kế data pipeline scalable và data lakehouse architecture
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
Participate in training sessions and hands-on learning to build a solid foundation in data engineering practices. Support the development of domain-specific data models for various use cases such as:Gamification (Gami),Promotions,Marketing analytics. Assist in building and maintaining feature store pipelines to support Machine Learning Engineering teams. Collaborate with senior data engineers in designing and developing scalable data pipelines using modern data tools and cloud services. Gain exposure and contribute to the design, development, and operation of a data lakehouse architecture. Ensure data quality, consistency, and availability across systems to support analytics and ML applications. Continuously explore new tools and techniques in the modern data ecosystem (e.g., Apache Spark, dbt, Airflow, Apache Iceberg, and a new query engine for real-time analytics such as Starrocks, etc.).
