Datarisk
51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
💳 Fintech
Artificial Intelligence • SaaS • Fintech
Datarisk is a data science and AI company that provides an MLOps platform, Model-as-a-Service (MaaS), credit-scoring solutions and AI agents to help organizations train, deploy and monitor machine learning models. It focuses on improving decision-making and risk management for financial institutions, fintechs and enterprises across sectors (marketing, supply chain, people analytics, retail and healthcare) by delivering cloud-hosted predictive models, specialized credit scores and consulting services. Datarisk positions itself as a B2B SaaS provider of machine learning and AI-driven products and services.
Data Engineer JR/PL/SR
Job not on LinkedIn
🕒 January 15
🗣️🇧🇷🇵🇹 Portuguese Required
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Datarisk
51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
💳 Fintech
Artificial Intelligence • SaaS • Fintech
Datarisk is a data science and AI company that provides an MLOps platform, Model-as-a-Service (MaaS), credit-scoring solutions and AI agents to help organizations train, deploy and monitor machine learning models. It focuses on improving decision-making and risk management for financial institutions, fintechs and enterprises across sectors (marketing, supply chain, people analytics, retail and healthcare) by delivering cloud-hosted predictive models, specialized credit scores and consulting services. Datarisk positions itself as a B2B SaaS provider of machine learning and AI-driven products and services.
📋 Description
• Act as a Consultant on consulting projects, analyzing the data platform, identifying opportunities and proposing improvements; • Design, develop and deploy data pipelines into the Data Lake (Big Data); • Integrate various partner systems via APIs; • Develop, test and maintain database architectures and real-time or distributed systems; • Plan and execute data cleansing and remediation activities.
🎯 Requirements
• Experience with data ingestion (preparation, cleansing and provisioning of data for analytical environments); • Experience with Python and SQL databases; • Knowledge of data analysis libraries (Pandas and Spark); • Experience orchestrating workflows with Airflow; • Knowledge of cloud platforms (Oracle, AWS, Azure or GCP); • Nice to have: knowledge of Kubernetes; • Experience building and maintaining REST APIs.
🏖️ Benefits
• Bradesco health and dental plan; • Wellhub (formerly Gympass); • Conexa Saúde & Psicologia Viva; • Corporate partnership with Open English (discounts on English & Spanish courses); • Home office allowance; • Paid leave of 22 business days per year; • Birthday day off.
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