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 rich experience in data analysis
1. 彈性的工時安排 / Flexible working hour
2. 彈性工作地點 / Flexible working location
3. 第一年即享有 15 天年假 / First year 15 days of annual leave
4. 生日假 1 天，生日當月任選一天使用 / Birthday leave
5. 給全薪病假 12 天 / Full pay sick leave
6. 給全薪家庭照顧假 7 天 / Paid family care leave
7. 全薪產假 90 天 / Maternity leave 90 days
8. 陪產假 10 天 / Paternity leave 10 days
9. 公司彈性福利補助每年新台幣 2 萬元(旅遊, 家庭照顧, 運動, 按摩等等) / Company sponsored SHOPLINEFlex
10. 每季部門聚餐補助新台幣 1 千元 / Company sponsored quarterly team dinner
11. 每月新台幣 2 百元零食津貼補助 / Snacks Coin NTD 200 per month
12. 每月生日會, 不定時早餐下午茶, 節慶活動豐富 / Festival Events, Birthday Celebration
13. 每個月約一至兩次按摩服務 / Massage
14. 公司另有企業內訓服務 / Training and Development
15. 年終獎金制度 / Annual Bonus
16. 扁平的公司組織架構 / Flat team structure
17. 優質薪資待遇 / Competitive salary package
18. 有機會驅動產品導向，只要你有好的想法！ / Ability to drive product direction
