Job Description

SHOPLINE 是亞洲最大網路開店平台,整合網站設計、商品管理和多元金物流服務,為電商賣家提供簡單上手的架站工具。自2013年創辦以來,全球已經有超過100,000 個品牌使用 SHOPLINE 的服務,讓SHOPLINE成為在亞洲市場的行業領軍者。

SHOPLINE 創新的服務與頂尖的團隊專注為電商賣家打造最好的產品,並於2014年獲選加入矽谷著名初創育成機構 500startups孵育計畫,是香港多年來第二間加入的團隊。更在2016年選入阿里巴巴集團的香港創業基金首批三家名單。

歡迎對 startup 有熱誠的人才加入我們的頂尖團隊!

At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview.

【What you’ll be doing】
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.


【What Are we looking for?】
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), Scala, or R
3. Familiar with Hadoop ecosystem, such as Spark, Hive, Hue, Pig
4. Experience with implementing highly scalable systems on top of cloud infrastructures, such as AWS or GCP
5. Expertise in Linux/Unix environments and familiar with shell scripting
6. Expertise in hands-on ETL job design, components and modules development of data process
7. Great communication skill and can-do attitude
8. Desired skills: Python (scikit-learn), Scala, Hadoop, Hive, Spark, Linux/Unix, AWS, MySQL/Mongo/PostgreSQL, R


40K+ TWD/month

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Allen Wang
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