Senior Data Developer (Databricks/FICO)
New
J
JobgetherFinancial services
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLGitAzureRESTful APIsJSONDatabricksPySpark
Requirements
- Demonstrated experience developing and maintaining decision engines using FICO solutions.
- Knowledge of FICO Blaze Advisor, FICO Decision Modeler (DM), FICO Decision Management Platform (DMPS), and Rule Maintenance Application (RMA) is preferred.
- Strong knowledge of business rules, decision tables, decision trees, ruleflows, workspaces, deployments, rule versioning, and governance practices.
- Experience in financial services, payment processing, or other high-volume transactional environments.
- Exposure to credit, customer onboarding, fraud prevention, collections, risk, or product eligibility projects.
- Advanced SQL proficiency and practical experience with Python and PySpark.
- Knowledge of data modeling and familiarity with Databricks.
- Experience with REST APIs, JSON, XML, microservices, messaging systems, and synchronous and asynchronous integrations.
- Familiarity with cloud environments, preferably Azure, as well as Git, DevOps pipelines, monitoring, and observability concepts.
- Understanding of traceability, audit requirements, and controlled development practices; regulated-environment experience is an advantage.
- Ability to investigate processing issues, evaluate solution impacts, and improve decision-engine performance.
- Knowledge of credit decision strategies, scorecards, policy engines, machine-learning model integration with FICO, MongoDB, or credit bureau integrations is desirable.
Responsibilities
- Build, enhance, and support business rules and decision logic in FICO platforms, including decision tables, decision trees, ruleflows, workspaces, and deployments.
- Analyze business requirements and translate business policies into automated decision-making solutions.
- Integrate FICO decision engines with REST APIs, microservices, and corporate applications using synchronous and asynchronous integrations.
- Participate in functional testing, solution validation, and acceptance activities.
- Investigate incidents, troubleshoot decision-engine processing, analyze performance issues, and implement improvements.
- Maintain rule versioning, documentation, auditability, and governance standards.
- Support business teams in defining, reviewing, and optimizing policies for credit, risk, fraud prevention, collections, eligibility, and customer onboarding.
- Use SQL, Python, PySpark, and Databricks for data processing, modeling, and integration.
- Maintain technical documentation and facilitate knowledge transfer to internal teams.
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