We're looking to expand our team with Data Engineer position
As a Data Engineer, you will be responsible for, but not limited to:
Research on how to improve our credit scoring algorithm
Formulate data science problem from our business process
Develop predictive analytics for user behavior
Apply machine learning models to optimize our business process
Write clean, scalable and testable code
Construct, improve, maintain, and monitor efficient data pipelines and data warehouses for data collection
Provides recommendations to improve data structure and data quality.
Bachelor's degree in Statistics/Mathematics/Computer Science or another quantitative fields
Excellent analytical and problem-solving skills.
Have working knowledge in ETL (Extract, Load, Transform).
Fluent in SQL, Python and R.
Comfortable working with Linux and Shell.
Experienced in working with RDBMS (MySQL, PostgreSQL) & Non-RDBMS (Redis, ELK Stack) datastore.
Capable of building hypotheses to identify and communicate data driven insights
Have experience with machine learning frameworks
Experience with BI tools such is Power BI. Tableau is a plus
Experienced in cloud-based deployments such as GCP is a big plus.
Experienced in Monitoring Tools such as Airflow is a big plus