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We are seeking a highly skilled senior software engineer to join our team. This role requires a strong background in building high-performance, data-intensive applications that handle complex financial data. The ideal candidate will have deep expertise in Java, a proven track record in data engineering, and a thorough understanding of the intricacies of financial markets. You will leverage your technical skills to solve challenging problems throughout the entire software development lifecycle.
Job Responsibility:
Design and Development: Architect, build, and maintain robust, scalable, and low-latency Java applications for processing real-time and historical financial stock market data
Data Pipeline Engineering: Engineer and manage sophisticated data pipelines using modern data technologies to ensure timely and accurate data availability for analytics and trading systems
Performance Optimization: Profile and optimize applications for maximum speed, scalability, and efficiency
System Integration: Integrate data from various financial market sources and ensure seamless data flow into downstream systems
Mentorship and Best Practices: Provide guidance and mentorship to other engineers, contribute to code reviews, and advocate for best practices
Operational Excellence: Participate in the full software development lifecycle, from initial design to production support, ensuring system reliability and performance
Requirements:
Deep expertise in Java: Proven proficiency in designing, developing, and optimizing high-performance, multithreaded Java applications
Comprehensive SDLC Experience: Extensive experience with the entire software development lifecycle, including requirements gathering, architectural design, coding, testing (unit, integration, performance), deployment, and maintenance
Data Engineering & Financial Data Processing: Proven experience in data engineering, including building, maintaining, and optimizing complex data pipelines for real-time and historical financial stock market data
Financial Market Acumen: A strong background in the financial industry, with a working knowledge of financial instruments, market data (e.g., tick data, OHLC), and common financial models
Problem-Solving & Adaptability: Excellent problem-solving skills and the ability to work with complex and evolving requirements
Collaboration & Communication: Superior communication skills, capable of collaborating effectively with quantitative analysts, data scientists, and business stakeholders
Testing & CI/CD: A strong ability to work on development and all forms of testing, with working knowledge of CI/CD pipelines and deployments
Database Proficiency: Experience with various database technologies (SQL and NoSQL) and the ability to design database schemas for efficient storage and retrieval of financial data
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