
501 - 1000 employees
Founded 1969
🤝 B2B
📚 Education
💼 Consulting
B2B • Education • Consulting
IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.
🕒 September 30
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on Instituto Euvaldo Lodi's careers page, not through a job board
First seen by Remote Rocketship September 30
Still open on Instituto Euvaldo Lodi's site. Checked 2 days ago.

501 - 1000 employees
Founded 1969
🤝 B2B
📚 Education
💼 Consulting
B2B • Education • Consulting
IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.
• Research architectures for an Intelligent Customer Timeline • Evaluate Event Sourcing, Temporal Databases, Event Stores, and hybrid architectures • Define event models, metadata, time windows, and representation layers • Develop strategies for dynamically composing context without massive data replication • Support the development of prototypes for detecting event- and journey-based opportunities • Research temporal data structures and data engineering
• Master’s degree in Computer Science, Data Engineering, Distributed Systems, or a related field • Availability for 40 hours per week • Knowledge of temporal data structures • Knowledge of Event Sourcing • Knowledge of Temporal Databases • Knowledge of Event Stores • Knowledge of indexing • Knowledge of stream processing • Knowledge of distributed systems • Knowledge of Data Engineering • Knowledge of Data Architecture • English proficiency • Desirable knowledge: Complex Event Processing (CEP), event-driven architectures, Data Mesh, Data Products, large-scale streaming, temporal performance benchmarking, and experience in financial environments
• Stipend: BRL 9,000.00 gross per month • Remote work • 12-month project
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