SysMap Solutions

Solutions Engineer

• Define, evolve, and maintain solution architectures aligned with business objectives and the organization’s technology guidelines
• Design and implement data pipelines, ensuring scalability, governance, quality, and efficiency in information processing
• Integrate security practices and controls into processes, solutions, and architectures, ensuring compliance and risk mitigation
• Support process automation initiatives using Artificial Intelligence and related technologies
• Design, develop, and enhance AI Agents to optimize processes and increase productivity
• Work with market-leading agentic frameworks and platforms, evaluating and implementing the best approaches for each scenario
• Collaborate with business, data, engineering, and technology teams to define innovative solutions
• Ensure best practices in architecture, integration, performance, scalability, and observability for implemented solutions
• Support the adoption and evolution of AI capabilities across the organization, promoting operational efficiency and business value generation

Solutions Architect

Data Analyst

• Ensure that data assets are cataloged, documented, standardized, and accessible for enterprise use, promoting data quality, governance, and reuse.
• Catalog and document tables, columns, and data products.
• Manage metadata, business glossaries, and data lineage.
• Standardize naming conventions and business definitions.
• Administer data catalog tools such as Microsoft Purview and similar platforms.
• Support business teams in identifying, understanding, and using data.
• Ensure compliance with Data Governance policies.

Senior Data Governance Analyst, Data Curation, Data Cataloging

Data Engineer

• Maintain data environments and processes in Azure and on-premises environments, ensuring continuous and reliable operations
• Provide administration and advanced support for Databricks on Azure, including troubleshooting and operational adjustments
• Monitor and oversee pipelines, jobs, integrations, and data routines with a preventive and corrective approach
• Implement fixes and improvements to existing processes, identifying root causes and reducing recurrence
• Lead incident management and resolution, including SLA management, prioritization, communication, and follow-up through stabilization
• Support BI and development teams by ensuring environments are ready for new releases and requirements
• Continuously evolve and improve DataOps and CI/CD pipelines for data, focusing on governance, quality, and reliability
• Collaborate with infrastructure and architecture teams as needed on capacity, access, security, networking, and performance
• Ensure compliance with security, governance, and compliance best practices in the data environment
• Propose and implement improvements to observability, monitoring, and alerting, including metrics, logs, and traceability

Mid-Level Data Engineer

Risk

• Ensure that access to data and analytics platforms is managed securely, efficiently, and in compliance with governance, privacy, information security, and regulatory requirements.
• Define and administer access models based on corporate profiles and roles.
• Ensure application of the principle of least privilege across data environments.
• Lead access provisioning, periodic access reviews, and access revocation processes.
• Assess risks, exceptions, and segregation-of-duties requirements related to data access.
• Support audits, regulatory requirements, and compliance initiatives.
• Establish controls, standards, and metrics for access monitoring.
• Serve as the liaison between business, technology, security, and governance teams.

Senior Data Governance Analyst – Access Management Focus

Scrum Master

• Facilitate teams’ Agile ceremonies, ensuring alignment, focus on sprint objectives, and continuous value delivery
• Support the writing of user stories and acceptance criteria, as well as effective backlog prioritization
• Collaborate with Product Owners, Tech Leads, and teams on demand refinement and planning
• Continuously map, analyze, and optimize workflows, identifying bottlenecks and improvement opportunities
• Monitor Agile metrics and indicators to increase predictability and support data-driven decision-making
• Remove impediments and blockers affecting team productivity and efficiency
• Promote a culture of self-organization, collaboration, continuous improvement, and psychological safety
• Foster integration between business and technology functions, strengthening team communication and alignment
• Share best practices in agility and process improvement
• Lead workshops, training sessions, and enablement initiatives to advance the organization’s Agile maturity
• Support the evolution of working methods by encouraging experimentation, learning, and continuous adaptation
• Contribute to the development of high-performing, results-oriented teams

Senior Scrum Master

• Lead the implementation of data governance related to fleet indicators
• Define business rules, metrics, and standards for the use of corporate data
• Structure and document key operational, commercial, and fleet consumption KPIs
• Develop and automate strategic indicators for monitoring fleet performance
• Build executive, management, and operational dashboards to support business teams
• Provide analytical dashboards for the Sales team, enabling monitoring of the customer portfolio, consumption behavior, and business opportunities
• Ensure the quality, integrity, and consistency of the information presented in dashboards
• Work closely with Data Engineering to evolve data sources, pipelines, and update processes
• Automate data update and consolidation routines, reducing manual processes
• Define monitoring processes to identify data failures, inconsistencies, and deviations
• Translate business needs into indicators and analytical solutions
• Support business teams in interpreting indicators and using dashboards
• Promote a data-driven culture by democratizing and standardizing information

Data Analyst – Specialist

• Design, develop, and maintain data pipelines to support KPIs, dashboards, and business analytics
• Build, optimize, and monitor ETL/ELT processes for consolidating data from multiple sources
• Integrate data from internal and external systems, ensuring consistency, reliability, and scalability
• Automate data loads, transformations, and update routines used in Fleet Management dashboards
• Structure and evolve the data architecture to support operational, commercial, and consumption KPIs
• Develop and maintain Data Marts, analytical layers, and data models for BI and Analytics
• Implement data monitoring, observability, and quality control mechanisms
• Support the definition and implementation of data governance, including standardization, traceability, and data cataloging
• Ensure the availability and reliability of information used by business dashboards and KPIs
• Work with BI, Analytics, Product, Sales, and Operations teams to enable scalable analytical solutions
• Support the automation of key KPIs used in Fleet Management
• Define processes that reduce manual intervention and increase the operational efficiency of data management
• Implement best practices for security, access control, and data lifecycle management
• Contribute to the continuous evolution of the data platform and its alignment with business needs

Senior Data Engineer

Security Engineer

• Participate in mapping and reviewing the driver journey, identifying risks, vulnerabilities, and opportunities for improvement.
• Contribute from the Discovery and solution-design phases, ensuring the incorporation of Fraud by Design and Security by Design principles.
• Assess fraud and security risks related to the Driver App and its transactional flows.
• Conduct threat, vulnerability, and potential attack-vector analyses throughout the fueling journey.
• Identify friction points caused by security controls and propose solutions that balance protection with user experience.
• Assess risks related to authentication, digital identity, devices, APIs, and integrations involved in the journey.
• Define preventive, detective, and corrective controls to mitigate identified risks.
• Support the definition of authentication, identity-validation, and account-protection strategies.
• Assess the financial, operational, and reputational impacts associated with identified risks.
• Work closely with Product, UX, Technology, Data, Operations, and Fraud Prevention teams to ensure secure and efficient journeys.
• Support the definition of risk, fraud, and security metrics for continuous monitoring of digital journeys.
• Serve as a technical reference on topics related to digital fraud, mobile security, and identity protection.

Anti-Fraud and Information Security Consultant – Specialist

Full-stack Engineer

• Develop and maintain full-stack applications, working across both backend and frontend
• Develop solutions using Java on the backend
• Build web interfaces using JavaScript, HTML, CSS, and Angular
• Work on the development and integration of microservices
• Work with containerized environments and Kubernetes
• Participate in technical decisions, requirements analysis, and problem-solving
• Contribute to development best practices, code quality, and maintainability
• Collaborate with multidisciplinary teams in an agile environment

Senior Full Stack Developer

Product Designer

• Map AS-IS and TO-BE journeys using Design Thinking, Service Design, and UX Research
• Plan and conduct interviews, research, usability tests, and validation sessions with users and stakeholders
• Design mobile and web journeys for financial, tax, legal, and operational processes
• Translate user needs, business rules, and technical requirements into user flows, wireframes, clickable prototypes, and high-fidelity interfaces
• Structure information architecture, user flows, and navigation flows for complex mobile and web products
• Create low- and mid-fidelity wireframes
• Develop clickable prototypes and high-fidelity interfaces, detailing interactions, states, rules, and exceptions
• Apply UI Design, interaction design, WCAG accessibility, and usability principles
• Serve as the Design System owner, evolving components, patterns, and guidelines
• Conduct handoff to Development, documenting behaviors, states, rules, and specifications
• Collaborate with Product, Technology, Operations, Data, Security, and Fraud Prevention teams
• Monitor implementation through Design QA
• Monitor conversion, abandonment, adoption, satisfaction, time to completion, user effort, and support contacts
• Facilitate workshops and collaborative sessions
• Define and track experience, conversion, abandonment, adoption, and satisfaction metrics
• Apply Design Thinking and Service Design to continuously improve end-to-end journeys

Senior UX Designer

• Build Tableau dashboards from scratch
• Perform data queries, manipulation, and analysis using advanced SQL
• Conduct studies and analyses to generate insights
• Build and maintain tables in Databricks
• Collaborate with business teams and stakeholders
• Work at a Brazilian technology company that helps organizations overcome complex challenges and accelerate their digital transformation

Senior Data Analyst

• Build and evolve Data Lake environments, ensuring scalability and data governance
• Design and build modern, modular data warehouses designed for growth and high performance
• Develop data schemas and resilient architectures, following data engineering best practices
• Define and evolve data architecture, ensuring reliable, scalable, and well-structured environments
• Conduct exploratory analyses and support the development of predictive models
• Participate in building data-driven recommendation mechanisms and processes
• Support business squads with structured, reliable data ready to generate value
• Act as a technical reference, supporting and developing more junior professionals
• Collaborate actively with the team to solve complex problems and turn data into decisions

Mid-Level/Senior Data Engineer

Implementation Specialist

• Lead the implementation of new products and the maintenance of production operations across all business lines, supporting company growth in accordance with the established strategic plan and applicable regulations;
• Ensure that a formal implementation or maintenance process is in place, as described in the department’s Procedures Manual;
• Define efficient new operations and lead the changes required to improve or correct ongoing operational processes;
• Lead the refinement of implementation requirements, schedule and coordinate meetings, and prepare presentations, specifications, process flows, and meeting minutes;
• Ensure the successful completion of implementation or maintenance processes by validating operation through at least one complete operational cycle and facilitating knowledge transfer to operational teams;
• Update product and process documentation as needed and monitor implementation, development, user acceptance testing, and post-production activities;
• Support the identification of regulatory, operational, or financial risks related to new implementation requirements;
• Assist the team in coordinating with relevant departments to identify solutions, mitigate risks, assign action items, and support communications.

Senior Implementation Consultant

• Define and implement data governance policies, standards, and processes.
• Manage data quality, including monitoring, remediation, and prevention of inconsistencies.
• Ensure compliance with Brazil’s General Data Protection Law (LGPD) and other applicable regulations.
• Work closely with business and IT teams to define data ownership, data stewardship, and related roles.
• Participate in data integration and migration projects, ensuring adherence to governance practices.
• Prepare data quality and governance reports and metrics for stakeholders.
• Contribute to the development of a data-driven culture across the organization.
• Support Master Data Management (MDM) and Data Catalog initiatives.

Senior Data Governance Analyst

• Develop, configure, and maintain decision engines and business rules on the FICO Blaze Advisor platform
• Implement and enhance prior authorization rules, ensuring alignment with business requirements
• Ensure the availability, performance, and scalability of implemented solutions
• Analyze, test, and validate business rules and decision flows
• Identify and mitigate operational risks related to decision engines
• Support the implementation of continuous improvements to authorization and decision-making processes
• Work closely with business units and technical teams to gather and detail requirements
• Monitor rule performance in production and support incident resolution and necessary adjustments
• Document functionalities, configurations, and changes made to the platform
• Contribute to the governance, quality, and evolution of decision engines and business rules