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