KDB Developer

Bounteous; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Bounteous in Bengaluru is seeking a skilled KDB Developer to join our data team. The role focuses on building high-performance KDB+/q applications for real-time and historical data processing, with emphasis on scalable data models and efficient queries.

You will collaborate with cross-functional teams to design, develop, and maintain KDB-based applications in a fast-paced environment, while optimizing performance and following best practices for clean, well-documented code.

Qualifications

• Proven experience in KDB+/q development and data handling.
• Strong understanding of time-series data and real-time data processing.
• Unix/Linux environment familiarity and scripting.

Responsibilities

• Develop, maintain, and optimize KDB+/q applications for real-time and historical data processing.
• Design and implement efficient data models and queries to handle large-scale datasets.
• Collaborate with stakeholders to understand requirements and deliver scalable solutions.
• Monitor, troubleshoot, and optimize system performance.
• Write clean, well-documented code following best practices.
• Participate in code reviews and knowledge sharing within the team.

Skills

KDB+/Q development

Time-series data processing

Query optimization

Unix/Linux scripting

Real-time data processing

Problem solving

Job description

Job Description

We are seeking a highly skilled KDB Developer to join our team. The ideal candidate will have strong experience with KDB+/q, working on high-performance data systems, and building scalable solutions for real-time and historical data processing. This role involves collaborating with cross-functional teams to design, develop, and maintain KDB-based applications in a fast-paced environment.

Qualifications

• Proven experience in KDB+/q development and data handling.
• Strong understanding of time-series data and real-time data processing.
• Experience with data modelling and query optimization in KDB.
• Familiarity with Unix/Linux environments and scripting.
• Knowledge of financial or trading domain is a plus.
• Excellent problem-solving skills and attention to detail.

Key Responsibilities

• Develop, maintain, and optimize KDB+/q applications for real-time and historical data processing.
• Design and implement efficient data models and queries to handle large-scale datasets.
• Collaborate with stakeholders to understand requirements and deliver scalable solutions.
• Monitor, troubleshoot, and optimize system performance.
• Write clean, well-documented code following best practices.
• Participate in code reviews and knowledge sharing within the team.