shoeline-data

【What you'll be doing 】

•  #1 Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics

•  #2 Responsible for data schema management and db performance tuning

•  #3 Develop backend #APIs and maintain #Data Visualization platform for SHOPLINE merchants

【Who we are looking for】

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

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

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

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

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

#6 Familiar with #Linux/#Unix environments, developed with #Docker / #Kubernetes

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

🔗Job Description: https://www.104.com.tw/job/83l31?jobsource=cs_sub_custlist_rc 

📪歡迎從 email: recruit.tw@shopline.com 投遞履歷，我們會最快處理！