
51 - 200 employees
📣 Marketing
🛡️ Insurance
📦 Logistics
Marketing • Insurance • Logistics
MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.
🔥 1 hour ago
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51 - 200 employees
📣 Marketing
🛡️ Insurance
📦 Logistics
Marketing • Insurance • Logistics
MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.
• Design, develop, and evolve backend services and REST APIs with Python and FastAPI, applying best practices in architecture, security, and maintainability. • Build and operate the communications dispatch service, integrating message queues and external APIs (Braze) with idempotency, retries, rate limiting, and robust error handling. • Integrate and orchestrate platform components, including Azure services, databases, third-party APIs, and data processes running on platforms like Databricks. • Design and maintain persistence solutions in Azure SQL, including data modeling, migrations, data integrity, and query optimization. • Ensure backend reliability and observability in production through monitoring, tracing, automated testing, and failure recovery mechanisms. • Collaborate with development, data, and IT/DevOps teams on technical decisions, component integration, CI/CD pipelines, and deployments across environments. • Maintain clear and up-to-date technical documentation.
• 3–5 years of experience in backend development, with demonstrable participation in building, integrating, and operating production services. • Strong command of Python and experience building REST APIs with FastAPI or equivalent frameworks. • Experience designing modular, maintainable software, applying SOLID principles, separation of concerns, and automated testing best practices. • Experience integrating APIs and distributed systems, including authentication, error handling, timeouts, retries, and resiliency patterns. • Experience with asynchronous processing and messaging systems: queues, dead-letter handling, and idempotency (e.g., Azure Service Bus or equivalents). • Strong SQL and relational database skills, including modeling, querying, migrations, and ORMs; SQL Server or Azure SQL preferred. • Experience with Docker and deploying containerized services. • Hands-on experience with cloud services, preferably Microsoft Azure, including monitoring, Git version control, and CI/CD processes. • Experience integrating and orchestrating data processes from backend services, especially with Azure Databricks or other data processing platforms. • Experience with containerized infrastructure in the cloud, including Kubernetes/AKS or Azure Container Registry. • Experience with Braze or similar customer engagement platforms.
• Remote-first culture – work from anywhere! • In-Company English Lessons. • Wellhub or sports club stipend to stay active • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • Food credits via Pedidos Ya • Birthday off + an extra vacation week (Mutt Week!) • Referral bonuses • Annual Mutters' Trip • Monthly Childcare Reimbursement
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