Lhp_Senior Kdb/Q Developer_Remote Mexico Dup

Luxoft; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology firm in Feira de Santana, Brazil is looking for a skilled developer specializing in KDB+ / q for trading platforms. The role involves designing and maintaining databases, optimizing data ingestion pipelines, and ensuring the performance of time-series datasets. Candidates should have 3-8 years of experience in a financial environment, alongside strong problem-solving skills. Join a dynamic team to innovate and enhance trading systems.

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 and query services.
• 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 for new data-driven features.

Conhecimentos

KDB+ / q development

Time-series data handling

Linux scripting

Query optimization

Data modeling

Performance tuning

Team collaboration

Problem-solving

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