Lhp_Senior Kdb/Q Developer_Remote Mexico Dup

Luxoft; Teletrabalho; BRL 100.000 - 150.000; Tempo integral

Resumo da oferta

A leading tech company in Brazil is seeking a skilled developer with hands-on experience in KDB+/q to build and maintain trading systems. The role includes designing databases, optimizing data pipelines, collaborating with Java developers, and supporting front-end solutions using React. A strong understanding of time-series data and problem-solving skills are essential. Competitive compensation and an engaging work environment are offered.

Qualificações

• 3-8 years of hands-on experience developing in KDB+/q within a trading or financial environment.
• Strong understanding of time-series data, market data structures, and real-time data processing.
• Solid working knowledge of Linux and scripting for system monitoring and automation.
• Proficiency in query optimization, data modeling, and performance tuning in KDB.
• Ability to work collaboratively with engineering, quant, and trading teams in a fast-paced environment.
• Strong communication and problem-solving skills, with attention to detail and reliability.

Responsabilidades

• Design, develop, and maintain KDB+/q databases and real-time data processing systems.
• Build and optimize data ingestion pipelines from multiple market data sources using Kafka.
• Collaborate with Java developers to integrate KDB systems with trading, analytics, and risk applications.
• Support React-based front-end interfaces by developing efficient APIs.
• Monitor and tune performance of large-scale time-series datasets.
• Troubleshoot production issues, ensuring high data quality, reliability, and uptime.
• Partner with quantitative researchers and traders to design new features and analytics.

Conhecimentos

KDB+/q development

Time-series data understanding

Linux and scripting

Query optimization

Collaborative work

Strong communication

Problem-solving skills

Descrição da oferta de emprego

Project Description

Building a trading platform for innovative international top-tier hedge fund from the ground up, comprising of front-office system for traders, pre-trade checks and analysis, intra-day positions management, order management and routing, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe).

Responsibilities

• Design, develop, and maintain KDB+ / q databases and real-time data processing systems supporting trading and research.
• Build and optimize data ingestion pipelines from multiple market data sources using Kafka.
• Collaborate with Java developers to integrate KDB systems with trading, analytics, and risk applications.
• Support React-based front-end interfaces by developing efficient APIs and query services for visualization and analysis.
• Monitor and tune performance of large-scale time-series datasets for latency and throughput.
• Troubleshoot production issues, ensuring high data quality, reliability, and uptime.
• Partner with quantitative researchers and traders to design new data-driven features and analytics.

Mandatory Skills Description

• 3-8 years of hands‑on experience developing in KDB+ / q within a trading or financial environment.
• Strong understanding of time-series data, market data structures, and real-time data processing.
• Solid working knowledge of Linux and scripting for system monitoring and automation.
• Proficiency in query optimization, data modeling, and performance tuning in KDB.
• Ability to work collaboratively with engineering, quant, and trading teams in a fast-paced environment.
• Strong communication and problem‑solving skills, with attention to detail and reliability.

Languages

English: B2 Upper Intermediate