Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong employer brand and Bangalore location increase competition despite niche kdb+ requirement.
Highly domain-specific kdb+/q surveillance expertise and regulatory knowledge limit cross-industry transferability.
Mandatory 12+ years plus specific kdb+/q, NLP, AWS and regulatory experience enforces strict filters.
Lead the technical evolution and hands-on development of kdb+/q time-series data platforms supporting surveillance and compliance solutions.
Design, build, optimize, test, and operate components including data ingestion, real-time processing, surveillance engines, APIs, and cloud infrastructure.
Implement delta control mechanisms like version control and incremental data updates; integrate NLP capabilities with spaCy and Python for text processing and sentiment analysis.
12+ years experience with kdb+, q programming, and related time-series databases expertise.
Bachelor's or master's degree in Computer Science, Software Engineering, IT, Data Engineering, or related field, or equivalent practical experience.
Experience with spaCy, Python integration, RESTful APIs, WebSocket, AWS services (EC2, S3, Lambda), CI/CD pipelines, and performance tuning in kdb+ environments.
Knowledge of regulatory frameworks such as ASIC, MiFID II, and MAR relevant to surveillance and compliance.
Deep expertise in time-series data platforms, especially kdb+/q, with hands-on leadership in surveillance or risk technology contexts.
Strong systems integrator comfortable with functional programming, data-driven architectures, automated testing, observability, and cloud deployment.
Experienced in cross-stakeholder collaboration (Compliance, Risk, Technology) and mentoring junior engineers in specialized technical domains.