Role Summary:
We are seeking an AI Data Engineer to design and build reliable, scalable data foundations that support analytics and AI/ML applications. This role focuses on developing robust data pipelines, ensuring feature readiness, and maintaining high data quality and reliability for AI-driven use cases.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines to support analytics and AI/ML workloads
- Develop and optimize data warehouse and lakehouse architectures
- Ensure data quality, freshness, reliability, and SLA compliance for critical datasets
- Support feature engineering, training datasets, and model inference pipelines
- Improve data discoverability and usability through metadata management, data lineage, and documentation
- Collaborate closely with data analysts, data scientists, and AI/ML engineers to enable end-to-end data solutions
Job Requirements:
- Bachelor Degree's in Data Engineering, Data Analytics or relevant data courses.
- 15 years of relevant working experience in data engineering or related roles
- Strong SQL skills and proficiency in at least one programming language (Python, Java, or Scala)
- Hands-on experience with big data technologies such as Spark, Hive, Iceberg, or similar frameworks
- Solid understanding of data modeling concepts and ETL/ELT pipeline design
- Experience with workflow orchestration tools such as Airflow (or equivalent)
- Exposure to ML pipelines, feature stores, or AI-related data workflows is a strong plus.
- Must be able to communicate in both English and Chinese languages as this position work in a globally team.
