- Kuala Lumpur Federal Territory Malaysia
工作地点
职位描述
岗位职责
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:
* 1–5 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
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