Data Engineer

We are seeking a skilled and self-motivated Data Engineer to join our team. The ideal candidate will possess strong data engineering and analytic skills, a basic understanding of supply chain business, and the ability to work with large complex supply chain data. The Data Engineer will collaborate with stakeholders to gather business demands, collect and process data, help to build business intelligence dashboards and provide valuable insights to support our digital transformation targets.Responsibilities:Responsible for data engineering and analysis in Sales, Manufacturing, Logistics fields.Discover potential demands and translate requirements into data-driven solutions with stakeholders.Design, build, and optimize scalable pipelines for ingesting, transforming, and integrating large-volume datasets.Work closely with machine learning engineer, apps developers to develop whole data analytics system including end-to-end analytical pipeline and machine learning operation.Ensure data quality, consistency, and real-time monitoring using tools like DBT, 3rd party libraries that can facilitate data validation processes.Work closely with data team to promote digital transformation.Requirements:Academic degree in Data Science, Statistics, Computer Science or a related fieldAt least 2+ year IT experiences in data migration or data pipelines projects.Exposure to containerization/orchestration (Docker, Kubernetes).Experience of statistical analysis, Linux system, Pyspark, Git and SQL.Knowledge of ETL tools such as Apache Airflow, DBT.Familiarity with one of the major cloud platforms Azure (Devops, Databricks, or Data Factory) is a plus.Character:Strong sense of responsibility and a good team player;Good communication skills including spoken, written English and Chinese.