Data developer (Python, FICO DMPS e FICO DM (ou Blaze Advisor)

Accountabilities:: Develop, maintain, and evolve business rules and automated decision engines within the FICO platform. Design and implement decision tables, decision trees, ruleflows, workspaces, deployments, and related decisioning components. Translate business requirements into effective decisioning solutions and perform impact analyses before implementation. Integrate FICO decision engines with corporate APIs, microservices, and other synchronous and asynchronous systems. Support functional testing, validation, homologation, production releases, and troubleshooting of decision engines. Investigate production incidents and processing issues, identifying root causes and implementing corrective actions. Ensure traceability, auditability, version control, and governance of business rules and automated decisions. Collaborate with business teams on the definition, optimization, and evolution of decision policies. Develop and maintain integrations using REST APIs, JSON, XML, SQL, Python, and related technologies. Document technical solutions and decisioning processes and support knowledge transfer to internal teams. Contribute to monitoring, observability, performance optimization, and continuous improvement of decisioning environments. Requirements: Proven professional experience developing and maintaining decision engines, preferably using the FICO ecosystem. Hands-on experience with FICO Blaze Advisor, FICO Decision Modeler (DM), FICO Decision Management Platform (DMPS), and/or Rule Maintenance Application (RMA) . Experience developing business rules, decision tables, decision trees, ruleflows, workspaces, and deployments. Background in financial institutions, payments, or other high-volume transactional environments. Experience with projects involving credit, customer onboarding, fraud prevention, collections, risk, or product eligibility. Strong knowledge of Python and PySpark , as well as advanced SQL. Experience with REST APIs, JSON/XML, system integrations, and synchronous/asynchronous messaging. Knowledge of data modeling and experience working with data platforms such as Databricks. Familiarity with cloud environments, with Azure experience considered desirable. Experience with Git and DevOps pipelines. Understanding of observability and monitoring concepts. Strong analytical and troubleshooting skills, with the ability to investigate complex processing issues. Good communication and collaboration skills for working across technical and business teams. Knowledge of credit decisioning strategies, scorecards, policy engines, machine-learning model integration, MongoDB, credit bureaus, or regulated environments is a plus. Benefits: Health insurance. Dental insurance. Meal and food allowances. Childcare assistance. Extended parental leave. Access to fitness, health, and well-being partnerships through Wellhub (Gympass) and TotalPass. Profit-sharing program (PLR). Life insurance. Continuous learning through a dedicated corporate learning platform. Online courses and professional development partnerships. Language-learning platform. Discounts club and partner benefits. Online resources focused on physical health, mental health, and overall well-being. Pregnancy and responsible-parenthood courses. Remote work model for eligible locations. For professionals residing in the Campinas Metropolitan Region, office attendance is required according to the applicable hybrid-work policy.