Key Responsibilities

Lead end-to-end design and development of kdb+/q-based data systems for real-time and historical market data.

Architect scalable data pipelines to support analytics, trading, and risk systems.

Collaborate with stakeholders including trading, quant, and technology teams to identify data requirements and optimize workflows.

Manage a team of KDB developers, providing technical direction, mentorship, and code reviews.

Oversee data ingestion, normalization, and query optimization for large-scale time-series data.

Ensure data quality, performance tuning, and system resilience using best practices.

Integrate KDB systems with Python, Java, or other analytics and visualization tools.

Develop monitoring and alerting solutions for KDB environments.

Stay current with KDB+/q enhancements, industry trends, and performance optimization techniques.

Required Skills & Qualifications:





7+ years of experience in building high-performance data systems using kdb+/q.

Strong expertise in time-series data modeling, tick data architecture, and real-time analytics.

Experience leading teams or large-scale projects.

Solid understanding of Linux systems, networking, and data caching.

Familiarity with Python, Java, or C++ for integration and tooling.

Experience with Kafka, AWS, Spark, or similar technologies is a plus.

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field Preferred/Valuable to Have:

Experience in investment banking, asset management, or capital markets settings.

Solid problem-solving and analytical skills.

Excellent communication and stakeholder management skills.

📌 Kdb Lead Gurugram
🏢 Bounteous
📍 Gurugram