At SHOPLINE we are working on very intenteresting 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.
[About this job]
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.
[About you]
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
[More...]
Data mining and machine learning algorithm experience is a big plus
1. 彈性工作時間 / Flexible work hours
2. 彈性工作地點 / Flexible work location
3. 第一年即享有15天年假 / First year 15 days of annual leave
4. 生日假 / Birthday leave
5. 給薪病假 / Full pay sick leave
6. 給薪家庭照顧假 / Paid family care leave
7. 產假90天 / Maternity leave 90 days
8. 陪產假10天 / Paternity leave 10 days
9. 公司贊助彈性福利 / Company sponsored SHOPLINEFlex
10. 每季部門聚餐補助 $1,000 / Company sponsored quarterly team dinner
11. 平等的公司成員架構 / Flat team structure
12. 優質薪資待遇 / Competitive salary package
13. 有機會驅動產品導向，只要你有好的想法！ / Ability to drive product direction
