Founded in 2013, SHOPLINE is Asia’s biggest smart commerce platform that empowers merchants to succeed everywhere. We provide a full-featured platform that allows merchants to easily build their online shop and deliver a seamlessly omni-channel experience. SHOPLINE’s key services include inventory and sales management, regional logistics, payment gateways, data analytics tools, storefront theme designs, local customer support, and everything you need to create a store. SHOPLINE has offices in Hong Kong, Taiwan, Shenzhen, Guanzhou, Kuala Lumpur and Singapore. To date, SHOPLINE has helped over 200,000 merchants to open their online stores.

Our team is agile and we provide benefits and support comparable to overseas startups. If you are interested in e-commerce or working in a startup environment, come talk to us!

SHOPLINE 全球智慧開店平台，創立於 2013 年，秉持著「 Empower merchants to succeed anywhere 」的理念，期望讓想創業的團隊、想建立品牌的企業組織，都能透過 SHOPLINE 的服務，成功將品牌、產品推廣到世界各地。

SHOPLINE 是致力於協助品牌一舉創建、管理線上與線下商店的一站式智慧開店服務，提供包含網路商店架設、跨境電商、O2O 虛實整合、零售 iPad POS 系統、社群電商、廣告投遞、市場策略、行銷企劃以及代營運等全方位的開店解決方案，讓各種規模的品牌都能扎根本地，放眼世界，實現全通路零售的版圖佈局。
目前，SHOPLINE 已協助全球超過 20 萬品牌開店，包含 Cheese Duke 起士公爵、Dazzling、Durex 杜蕾斯、海邊走走、京盛宇、綠藤生機、Lucy’s、毛起來、美珍香、葡吉食品、QUEENSHOP、古典玫瑰園、Smith & Hsu 等知名品牌選用，於 2019 年度，SHOPLINE 更成功協助所有品牌用戶接觸累計超過 3.5 億人次的消費者，讓 SHOPLINE 成為亞太市場的行業領軍者。

發展至今，SHOPLINE 已是超過四百人、跨越香港、台北、吉隆玻、胡志明、深圳、廣州、新加坡等 7 個城市的國際化團隊。SHOPLINE 創新的服務與頂尖的團隊專注為品牌打造最好的產品，曾於 2014 年獲選加入矽谷著名初創企業育成機構 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，2019 年也獲得新一輪資金挹注，投資人包含中華開發創新加速有限公司以及阿里巴巴香港創業者基金的增投。

Hong Kong 香港｜Taiwan 台灣｜Malaysia 馬來西亞｜Vietnam 越南｜Thailand 泰國｜Global

Data Engineer

Taiwan

Full Time

Data Engineer

Mid Level

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 】

- Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics

- Responsible for data schema management and db performance tuning

- Develop backend APIs and maintain data visualization platform for SHOPLINE merchants

【 Who We are Looking for? 】

- Fluent in Python and SQL, experience in api framework (Flask, FastAPI, Django) is a plus

- Expertise in hands-on ETL job design and development (Apache Airflow preferred)

- Proficient in SQL and NoSQL databases, experience in PostgreSQL / BigQuery / MongoDB is a plus

- Experience in working with cloud services such as AWS / GCP, data related services preferred

- Knowing how to work with big data tools or stream-processing system, such as Apache Kafka, Apache Flink, Debezium, and etc

- Familiar with Linux/Unix environments, developed with Docker / Kubernetes

- It’d be a plus if you’re familiar with the e-commerce industry and have rich experience in data analysis

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