
Financial Systems Developer
6 days ago
We are seeking an accomplished Database Engineer to design, develop and maintain high-performance database systems that handle vast volumes of financial market data.
This role is critical to ensuring data integrity, low-latency access and seamless service for a diverse user base.
Data Management and Modeling:
- Design database schemas for storing and retrieving time-series financial data, including high-frequency tick data, OHLC data and other market-specific datasets.
- Develop and optimize ETL processes for ingesting data from various market sources in real-time.
- Ensure data integrity, consistency and accuracy across all databases.
API Development and Integration:
- Write robust and efficient APIs to provide programmatic access to historical and real-time market data for internal and external users.
- Implement data retrieval services that can handle high throughput and low-latency queries.
- Collaborate with application developers to integrate database services with trading, analytics and visualization tools.
Performance and Scalability:
- Architect and manage database solutions capable of handling extremely high write and read loads associated with tick-by-tick data.
- Implement advanced performance tuning techniques, including indexing, query optimization and caching strategies.
- Develop and maintain load balancing mechanisms to distribute user requests efficiently across multiple database instances.
System Maintenance and Monitoring:
- Monitor database performance and troubleshoot issues in a high-pressure environment.
- Implement robust backup, disaster recovery and high-availability solutions.
- Stay up-to-date with industry best practices and emerging technologies in database management and big data.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- Proven experience as a Database Engineer, Data Engineer or similar role.
- Strong proficiency in SQL and experience with both relational and non-relational databases.
- Solid programming skills in Python, Java or C++.
- Hands-on experience with API development using frameworks like FastAPI, Flask or Spring Boot.
Familiarity with:
- Cloud platforms (AWS, Azure or GCP) and related database services.
- Data structures and algorithms, with a focus on performance optimization.
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