Your day-to-day challenges:
- Working closely with the Data Science team to improve automated decision making
- Building the infrastructure that drives our loan decision engine
- Integrating with APIs to download and extract additional features
- Scraping web pages for new data
- Maintaining our model deployment pipeline
Your skills include:
- 3+ years of experience as a Data Engineer using Python
- Strong knowledge of relational databases
- Familiarity with the AWS infrastructure
- Experience in building data pipelines
- Experience with stream processing, ideally Apache Kafka
- Passion to learn about new patterns and engage in architectural discussions
- Drive for writing high-quality code and teaching others to do the same
Bonus points:
- Bachelor’s degree in Computer Science, Computer Engineering or Finance
- Experience with Docker and Microservices