Data Engineering Manager - Treasury Global Liquidity
Tasks
- Automate cash investment workflows
- Build machine learning forecasting pipelines
- Build real time liquidity observability systems
- Collaborate with Product and stakeholders
- Define technical strategy
- Design monitoring systems
- Engineer control mechanisms for liquidity utilization
- Hire engineers
- Implement scalable event-driven systems
- Lead data engineering initiatives
- Mentor and lead engineers
Perks/Benefits
- N/A
Skills/Tech-stack
Data Engineering | Data Pipelines | Distributed Systems | Event Driven | Event-driven architecture | Forecasting | Kafka | Machine Learning | Microservices | Monitoring Systems | Python | Real Time | Real-time Processing | SQL | Software Architecture | System Scalability | Time processing
Education
N/A
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