
Senior Time Series Database Specialist
7 days ago
Overview
We are seeking an experienced data engineer to join our team. The ideal candidate will have a strong background in high-performance systems and time-series databases.
Key Responsibilities
- Design, develop, and maintain high-performance time-series databases and real-time analytics systems.
- Collaborate with traders, quants, and software engineers to deliver scalable and reliable solutions for market data capture, strategy execution, and post-trade analysis.
- Architect, design, develop, and implement KDB+/q solutions for real-time and historical market data processing.
- Enhance system performance, scalability, and reliability across trading platforms.
Requirements
- Proven experience as a KDB+ Engineer in a trading or financial services environment.
- Strong proficiency in q programming and time-series data modeling.
- Deep understanding of market data (e.g., equities, FX, futures) and trading system architecture.
- Experience with algorithmic trading platforms and strategy development.
- Familiarity with low-latency systems, networking, and performance tuning.
Preferred Qualifications
- Experience with cloud-based infrastructure (e.g., AWS, GCP).
- Knowledge of other programming languages (e.g., Python, C++) is a plus.
- Background in quantitative finance or data science is advantageous.
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