
Financial Data Engineer
7 days ago
Financial Data Expertise is crucial for our business. We require a highly skilled and motivated individual to develop and maintain high-performance, scalable database systems that handle vast volumes of financial market data.
The ideal candidate will be responsible for designing, implementing, and maintaining database schemas for storing and retrieving time-series financial data, including high-frequency tick data, OHLC data, and other market-specific datasets.
- Data Management and Modeling:
- Design and implement database schemas for storing and retrieving time-series financial data.
- Develop and optimize ETL (Extract, Transform, Load) processes for ingesting data from various market sources in real-time.
- Ensure data integrity, consistency, and accuracy across all databases.
Key Responsibilities
Data Management and Modeling:
Implement database schemas for storing time-series financial data.
Optimize ETL processes for ingesting real-time data from market sources.
Maintain data integrity and consistency across databases.
API Development and Integration:
Develop robust APIs to provide programmatic access to historical and real-time market data.
Implement data retrieval services with high throughput and low-latency queries.
Collaborate with application developers to integrate database services with trading tools.
Performance and Scalability:
Architect database solutions for handling high write and read loads associated with tick-by-tick data.
Implement performance tuning techniques, including indexing and caching strategies.
Develop load balancing mechanisms to distribute user requests efficiently.
System Maintenance and Monitoring:
Monitor database performance and conduct regular health checks.
Implement backup and disaster recovery solutions.
Stay up-to-date with industry best practices and emerging technologies in database management.
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