Master’s Scholarship Fellow – Computer Science, Data Engineering, Distributed Systems

• Research architectures for the Intelligent Customer Timeline
• Evaluate Event Sourcing, Temporal Databases, Event Stores, and hybrid architectures
• Define the event model, metadata, time windows, and representation layers
• Develop strategies for dynamically composing context without massive data replication
• Support the development of prototypes for detecting event-based opportunities and customer journeys

• Master’s degree in Computer Science, Data Engineering, Distributed Systems, or a related field
• Knowledge of temporal data structures
• Knowledge of Event Sourcing
• Knowledge of Temporal Databases
• Knowledge of Event Stores
• Knowledge of indexing
• Knowledge of streaming
• Knowledge of distributed systems
• Knowledge of data engineering
• Knowledge of data architecture
• English proficiency
• Availability to work 40 hours per week
• Availability to work for 12 months

• Scholarship Stipend: BRL 9,000.00
• Remote work
• 40 hours per week
• 12-month duration