
1001 - 5000 employees
Founded 1986
đ Cybersecurity
âïž SaaS
Cybersecurity âą SaaS âą BPO
Montreal Oficial is a technology company providing innovative solutions in secure identification and authentication, operational continuity, intelligent management, and automation. They specialize in advanced biometric technologies, data center and cloud solutions, and business process outsourcing. Montreal Oficial aims to support public and private institutions with efficient, secure, and connected services, driving digital transformation and addressing complex challenges faced by their clients.
đ„ 2 minutes ago
đŁïžđ§đ·đ”đč Portuguese Required
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1001 - 5000 employees
Founded 1986
đ Cybersecurity
âïž SaaS
Cybersecurity âą SaaS âą BPO
Montreal Oficial is a technology company providing innovative solutions in secure identification and authentication, operational continuity, intelligent management, and automation. They specialize in advanced biometric technologies, data center and cloud solutions, and business process outsourcing. Montreal Oficial aims to support public and private institutions with efficient, secure, and connected services, driving digital transformation and addressing complex challenges faced by their clients.
âą Develop data pipelines in Python for ingesting and processing large volumes of information âą Design advanced architectures in PostgreSQL for financial transactions and MongoDB for unstructured data âą Program data cleansing, anonymization, and enrichment routines âą Ensure database integrity and performance under high concurrency âą Create intelligent dashboards (BI) using industry-standard tools âą Integrate complex data from heterogeneous sources and formats âą Create logical and physical data models, including primary and foreign keys, indexes, and views âą Work with data visualization, data mining, and ETL âą Program pipelines that will feed governance systems and AI models
âą Completed higher education (technologist degree, bachelor's degree, and/or lato sensu or stricto sensu graduate degree) in Information Technology âą Experience as a Senior Data Analyst and in agile development âą Advanced Python skills for data engineering âą Knowledge of PostgreSQL and MongoDB âą Knowledge of DAX (Power BI) âą Knowledge of LLMs and prompt engineering best practices âą Knowledge of Elastic (Elasticsearch), statistics, agentic AI, and machine learning is desirable
âą The company invests in talent development âą Collaborative, respectful, and supportive work environment âą Remote work
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