An foreign-invested enterprises in a cutting-edge field of Fintech.Founded in 2016, the company has more than 3,000 employees worldwide and is mainly engaged in financial exchange, ranking Top15
About the Job
Build business-oriented data models and implement risk-related, data-centric Python algorithms
Build Python-based data pipelines and build DAGs with mainstream schedulers such as Airflow
Build and maintain the Data Platform and troubleshoot for it
Proactively support and identify downstream teams who utilizes the data platform
Bachelor/Master's degree in Computer Science / Info Engineering / Maths or numerate subjects.
Rigorous and focus on details, strong logical thinking and reasoning skills; comfortable with numbers / spreadsheets / datasets / coding; analytical and problem solving skills.
Proficient in Python (3+years of working experience)
Knowledge of SQL / relational DB; Experience with processing data
Hands on experience with Pandas, NumPy, and Jupyter
Hands on experience with AWS and Linux system is a plus
- Base is 30-60k.There are other parts
- Support national telecommuting