Job Title: Data Engineer
Qualifications:
- Expertise in Python (scripting, programming, and development of pipelines)
- Experience working with financial data and market data
- Experience with Big Data/Data Pipelining technologies (ex: Spark, Airflow, Kafka, etc.)
- Experience with AWS
- Experience with high volume, high availability distributed systems
Preferred:
- C++
- Time series data sets experience
- Experience within a quantitative trading firm/hedge fund
Responsibilities:
- Design, automate, build, and launch scalable, efficient data pipelines into production using Python
- Build data processing/analytics tools for research and trading
- Design, architect, and implement best-in-class Data Warehousing and reporting solutions
- Lead and participate in design discussions and meetings
- Develop new systems and tools to enable the teams to consume and understanding of data more intuitively
- Partner with Traders, Quants, Researchers, and Data Scientists to solve their critical data problems
- Creating new analytic tools, or enhancing parallel compute capabilities as well as working on POCs and investigate new technologies