Senior Data Developer (Databricks/FICO)

Accountabilities •

Develop and maintain decision rules: Build, enhance, and support business rules and decision logic within FICO platforms, including decision tables, decision trees, ruleflows, workspaces, and deployments.

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Design decision solutions: Analyze business requirements, assess potential impacts, and translate business policies into effective automated decision-making solutions.

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Integrate enterprise systems: Connect FICO decision engines with REST APIs, microservices, and corporate applications, supporting both synchronous and asynchronous integrations.

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Support testing and validation: Participate in functional testing, solution validation, and acceptance activities to ensure decision logic meets business and technical requirements.

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Maintain production stability: Investigate incidents, troubleshoot decision engine processing, analyze performance issues, and implement improvements to ensure reliable operation.

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Ensure governance and traceability: Maintain rule versioning, documentation, auditability, and governance standards for decision processes, particularly in regulated environments.

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Collaborate with business stakeholders: Support business teams in defining, reviewing, and optimizing decision policies related to credit, risk, fraud prevention, collections, eligibility, and customer onboarding.

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Leverage data engineering capabilities: Work with SQL, Python, PySpark, and Databricks to support data processing, modeling, and integration requirements.

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Document and share knowledge: Maintain technical documentation and facilitate knowledge transfer to internal teams to support long-term maintainability and continuous improvement.

Requirements:

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FICO platform experience: Demonstrated experience developing and maintaining decision engines using FICO solutions, ideally including FICO Blaze Advisor, FICO Decision Modeler (DM), FICO Decision Management Platform (DMPS), and Rule Maintenance Application (RMA).

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Decision logic development: Strong knowledge of business rules, decision tables, decision trees, ruleflows, workspaces, deployments, rule versioning, and governance practices.

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Relevant industry background: Experience in financial services, payment processing, or other high-volume transactional environments, with exposure to credit, customer onboarding, fraud prevention, collections, risk, or product eligibility projects.

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Data and programming skills: Advanced SQL proficiency, practical experience with Python and PySpark, knowledge of data modeling, and familiarity with Databricks.

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Integration technologies: Experience with REST APIs, JSON, XML, microservices, messaging systems, and synchronous and asynchronous integrations.

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Cloud and DevOps knowledge: Familiarity with cloud environments, preferably Azure, as well as Git, DevOps pipelines, monitoring, and observability concepts.

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Analytical and troubleshooting abilities: Strong problem-solving skills and the ability to investigate processing issues, evaluate solution impacts, and improve decision engine performance.

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Governance and documentation: Understanding of traceability, audit requirements, and controlled development practices, with experience in regulated environments considered an advantage.

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Additional desirable expertise: Knowledge of credit decision strategies, scorecards, policy engines, machine learning model integration with FICO, MongoDB, and credit bureau integrations such as Serasa, Boa Vista, Quod, or TransUnion.

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Communication and collaboration: Ability to work effectively with business stakeholders and technical teams, document complex solutions clearly, and contribute to knowledge sharing.

Benefits:

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Health coverage: Health and dental insurance plans.

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Food allowances: Meal and food vouchers.

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Family support: Childcare assistance and extended parental leave.

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Health and wellness: Access to fitness facilities and wellness professionals through partner programs, including Wellhub and TotalPass.

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Financial rewards: Profit-sharing and results-based bonus program (PLR).

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Financial protection: Life insurance.

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Continuous learning: Access to a dedicated corporate learning platform and partnerships with online course providers.

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Language development: Access to an online language-learning platform.

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Health and well-being resources: Free online resources supporting physical health, mental health, and overall well-being.

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Parenting support: Courses focused on pregnancy and responsible parenting.

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Additional perks: Access to a discount program and other employee benefits.

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Work arrangement: The role is listed as remote. Candidates residing in the Campinas Metropolitan Region may be required to attend offices in Campinas in accordance with the applicable attendance policy.

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Inclusive workplace support: Dedicated health and well-being teams, inclusion specialists, and affinity groups. Candidates with disabilities may be asked to provide supporting documentation during recruitment to help arrange appropriate accommodations; assistance may be available to obtain the required documentation. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1