數據工程師 (Data Engineer)

Job Description:
1. Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics
2. Develop data visualization to track data usage, server status, and represent data insights
3. Automate data process tasks and support data analysis tasks
4. `Use existing` algorithms and implement data-mining strategies to achieve our end goal.

Required Experience & Skills：
1. At least 2 years of experience in building and operating large scale distributed systems or applications
2. At least 2 years of experience in processing data with Python `(scikit-learn)`
3. Experience with implementing highly scalable systems on top of cloud infrastructures, such as AWS or GCP
4. Expertise in Linux/Unix environments and familiar with shell scripting
5. Expertise in hands-on ETL job design, components and modules development of data process with Airflow
6. Great communication skill and can-do attitude
7. Desired skills: Python `(scikit-learn)`,Linux/Unix, AWS, Mongo/PostgreSQL, Airflow, BigQuery

加分：
1. Data mining and machine learning algorithm experience is a big plus

* 開放式的工作環境

* 彈性的上、下班時間 * 優於勞基法特休：

   到職即享有特休最多15天，未滿一年依比例計給。服務滿二年起，每二年加給１天最多至30天。

* 年度不扣薪病假5天。 * 保障13個月薪資。

* 每月享有員工餐飲休閒補助。

* 配置MAC筆記型電腦。 * 通過試用期享團保福利。