Opea
Fintech • Finance • B2B
Opea is a Brazilian hub of structured credit solutions that helps companies, structurers and investors design, implement and manage credit operations. It combines industry-specific expertise and technology to offer services such as digital credit pipelines, escrow and digital accounts, securitization, collateral management and other credit products across sectors like real estate, agribusiness, healthcare, infrastructure and fintechs. Opea positions itself as a technology-enabled partner for financial institutions and corporates seeking to scale and operationalize complex credit solutions.
51 - 200 employees
Founded 1999
💳 Fintech
💸 Finance
🤝 B2B
Engenheiro de Dados Júnior
Job not on LinkedIn
November 12
🗣️🇧🇷🇵🇹 Portuguese Required
Opea
Fintech • Finance • B2B
Opea is a Brazilian hub of structured credit solutions that helps companies, structurers and investors design, implement and manage credit operations. It combines industry-specific expertise and technology to offer services such as digital credit pipelines, escrow and digital accounts, securitization, collateral management and other credit products across sectors like real estate, agribusiness, healthcare, infrastructure and fintechs. Opea positions itself as a technology-enabled partner for financial institutions and corporates seeking to scale and operationalize complex credit solutions.
51 - 200 employees
Founded 1999
💳 Fintech
💸 Finance
🤝 B2B
📋 Description
• Coletar dados de diversas fontes, limpar e transformar dados brutos, e prepará-los para análise e modelagem. • Desenvolver e manter pipelines de dados para processar e transformar dados de forma eficiente. • Elaborar relatórios para as áreas de negócio, contribuindo de forma estratégica para a tomada de decisões. • Testar a qualidade dos dados e identificar e solucionar problemas relacionados à coleta, processamento e armazenamento de dados.
🎯 Requirements
• Graduação em Ciência da Computação, Estatística, Matemática ou áreas afins. • Conhecimento básico de engenharia de dados, processamento de dados e bancos de dados. • Inglês técnico para leitura e escrita. • Conhecimento em banco de dados e SQL para realizar consultas em banco de dados durante projeto. • Conhecimento em linguagens de programação (Python, Java ou Scala). • Habilidade para criar pipeline de tratamento de dados e desenvolver modelos de machine learning. • Criar e manter dashboards e relatórios para suportar decisões estratégicas. • Experiência com ferramentas de automação e provisionamento. • Diferencial: conhecimento em ferramentas voltadas à análise, persistência e processamento de dados, tais como AWS Glue, Apache Airflow, Databricks, AWS Athena, AWS Redshift e Amazon S3.
🏖️ Benefits
• Plano de Saúde e Odontológico; • Vale Alimentação e Refeição; • Vale Transporte; • Totalpass; • Seguro de Vida; • Auxílio Creche/Babá.
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