Lead Software Engineer – Data Engineering, Python/KDB
Tasks
- Automate SDLC processes
- Build analytics tools and frameworks
- Build scalable data processing applications
- Collaborate with research and trading teams
- Deliver advanced analytics capabilities
- Design real-time data processing pipelines
- Develop scalable APIs
- Drive continuous improvement in SDLC testing and coding standards
- Influence product design and technical operations
- Lead technical initiatives
- Leverage AI to automate workflows
- Manage book of work
- Mentor and develop team members
- Onboard datasets efficiently
- Optimize pipeline reliability and performance
- Provide Python KDBQ data engineering and AI best practices
Perks/Benefits
- N/A
Skills/Tech-stack
AI | API Development | AWS | Agile | Analytics | Analytics libraries | Application Resiliency | Automation | CI/CD | Cloud Native | Continuous Delivery | Continuous integration | Data Processing | Equities trading | FIX | Generative AI | Kdb,q | Kubernetes | Machine Learning | Market Data | OMS | Python | Real Time | Real-time Data | Real-time Data Processing | SDLC | Security | Terraform | Testing
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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