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About the Role
The Core Data team models and owns structured datasets that connect Squarepoint to the outside world, representing the firm's view of reality. We partner with portfolio managers and investment researchers to define data models and build reliable data pipelines. Our technology supports every stage of the investment lifecycle.
Responsibilities
- Acquire a deep understanding of data requirements provided by investment research teams and deliver solutions that create business impact.
- Design, implement, test, optimize, and troubleshoot data pipelines and services using Python and q.
- Work with a range of database technologies, including PostgreSQL and kdb+.
- Analyze, onboard, and curate vendor datasets, becoming a subject matter expert in third-party data.
- Take a leading role in production support and operational excellence during business hours.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related subject.
- 4+ years of professional software engineering experience.
- Proficiency in Python and/or kdb+/q.
- Experience developing software in a Linux environment.
- Excellent verbal and written communication skills.
- Curiosity and a willingness to learn new technologies, tools, and frameworks.
Skills
- Python
- kdb+/q
- PostgreSQL
- kdb+
- SQL
- Relational databases
- Time-series databases
- Data-intensive applications
- Financial datasets
Experience Level
- 4+ years of professional software engineering experience
Education Level
- Bachelor’s degree in Computer Science, Engineering, or related subject
About the Company
- We are looking for talented software engineers with strong Python and/or kdb+/q experience to join our team. You will be part of a collaborative, learning-oriented environment where excellence is recognized, diverse perspectives are valued, and innovative solutions are encouraged.