面議(經常性薪資達4萬元或以上) 台北市松山區 工作經歷不拘 3天前更新
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
展開