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 environments.
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management skills.

📌 KDB Lead (Gurugram)
🏢 Bounteous
📍 Gurugram