Minerva Foods

Systems Engineer

• Handle SAP incidents and functional enhancements involving the company's business areas.
• Support the development of technical and functional improvements for SAP modules MM/SD/PM, contributing knowledge and ideas that promote SAP process best practices.
• Perform configuration and parameterization of SAP modules MM/SD/PM to support continuous process improvement in business areas.
• Assist business areas in gathering technical requirements and developing test scenarios.
• Provide support for internal and external tickets related to MM/SD/PM modules, including interaction with consulting firms.
• Provide ongoing technical support to resolve issues and ensure efficient operation of SAP environments within the company.
• Monitor and control consulting hours for project demands involving MM/SD/PM.

Systems Analyst, Senior

Analyst

• Act as a reference in the management of multiple high-impact strategic projects, ensuring efficient execution and measurable financial (ROI) and strategic (OKRs) returns;
• Lead transformational changes in processes and tools across the origination chain, promoting innovation and operational excellence;
• Act as a facilitator of strategic solutions, collaborating with stakeholders at all levels (from cattle buyers and field teams to senior management) to thoroughly investigate the problem to be solved;
• Advocate best management (agile and traditional) and product development practices, fostering an innovative environment;
• Ensure effective communication and act as an active agent of transformation, aligning initiatives with the company’s strategic vision;
• Lead the Product Discovery process for new demands, investigating the business problem with stakeholders (Buyers, Managers, Logistics) before defining the solution scope;
• Define and manage the Livestock Products/Solutions Roadmap, prioritizing initiatives based on impact (OKRs), effort and strategic alignment;
• Analyze adoption and usage (Product Analytics) of implemented solutions (e.g., purchasing apps, logistics systems), collecting continuous feedback to guide the improvement backlog;
• Oversee multidisciplinary projects (Latin America and Australia), ensuring execution according to plan, mitigating risks and proposing corrective actions;
• Maintain excellent communication with stakeholders, preparing and presenting executive reports, one-page status updates and results presentations for all levels (operational to C-level);
• Map "as-is" and "to-be" processes during project implementation, proposing and tracking necessary business changes;
• Identify improvement opportunities and introduce market best practices to origination, impacting people’s routines.

Senior Product and Project Analyst

Business Analyst

• Tradução de Negócio para Tecnologia: dominar as alavancas e metas dos clientes internos para transformar necessidades de negócio em requisitos técnicos claros e implementáveis;
• Proatividade e Escopo: mapear dores e propor soluções inovadoras além do óbvio, liderando a construção do escopo e requisitos de novos produtos de Business Excellence;
• Ponte entre Áreas: garantir a fluidez da informação entre o time técnico e as áreas de negócio durante todo o ciclo de desenvolvimento, assegurando a aderência da solução;
• Mensuração de Resultados: estabelecer, em conjunto com os líderes de negócio, métricas claras para avaliar o progresso e o sucesso das soluções sistêmicas implementadas;
• Estratégia de Priorização: contribuir ativamente na definição do roadmap, defendendo prioridades com base em estudos de viabilidade, ROI e impacto estratégico;
• Tomada de Decisão Analítica: utilizar análise de tendências e dados para discutir soluções (técnicas e estratégicas) e justificar a importância dos projetos liderados;
• Visibilidade e Controle: assegurar uma comunicação transparente e visual sobre o andamento dos projetos, gerenciando prazos, mudanças e mitigando riscos de entrega.

Analista de Negócios Sênior – Produtos Digitais

• Lead projects and sustainment of SAP environments and legacy systems, ensuring performance and availability;
• Possess technical knowledge of SAP solutions at the programming, architecture and functionality levels;
• Coordinate the implementation, evolution and support of SAP modules for business areas such as: Purchasing/Supply (MM), Commercial/Sales (SD), Finance (FI/CO), People & Management (HCM/SuccessFactors) and Master Data Management (Customer/Vendor/Materials); Experience required in at least two SAP implementations;
• Ensure governance of change, incident and improvement processes in SAP systems and other legacy systems;
• Coordinate multidisciplinary teams (analysts, consultants and partners), promoting collaboration, development and performance; Experience using tools for professional development, such as feedback and Individual Development Plans (IDPs);
• Track the progress of tickets (incidents & improvements) submitted by business areas to the SAP Systems team, ensuring adherence to internal SLAs and technical quality of support.

SAP Systems Coordinator

Data Scientist

• Participate in developing solutions and agents based on large language models (LLMs) for application in the company’s products, processes, and services;
• Perform fine-tuning and customization of pre-trained models;
• Implement data pipelines for model training and evaluation, including preprocessing, tokenization, and dataset curation;
• Support the integration of generative AI models into corporate systems, APIs, and business workflows, promoting automation and value generation;
• Explore and apply RAG, embeddings, and hybrid architectures when required;
• Explore and apply prompt engineering techniques;
• Implement continuous improvements in systems, seeking innovations and best development practices;
• Work with development, data, and product teams to ensure robust, secure solutions aligned with business needs;
• Document processes, experiments, and best practices, contributing to the technical knowledge growth in the area.

Mid-level Data Scientist – Focus on AI agents, LLM

• Act as the initial point of contact for analysis and diagnosis of support tickets, understanding users' requests;
• Analyze and interpret application logs to identify root causes of issues, replicating scenarios in staging/test environments;
• Use SQL to run queries, trace data and identify inconsistencies that support accurate incident diagnosis;
• Browse and debug source code to understand application flow and help identify faults, with a focus on analysis rather than development;
• Document applied solutions in our knowledge base, ensuring information sharing and speeding up future resolutions;
• Execute tests on APIs and Web Services using tools such as Postman, ensuring correct communication between systems;
• Collaborate in prioritizing tickets based on business impact, developing a critical view of company processes;
• Knowledge of code versioning (Git);
• Work as part of a team, seeking support from more experienced analysts and sharing learnings.

Junior Systems Analyst – Solutions Support

• Atuar como ponto inicial de contato para a análise e diagnóstico de chamados de sustentação, compreendendo as solicitações dos usuários;
• Analisar e interpretar logs de aplicação para identificar a causa raiz dos problemas, replicando os cenários em ambientes de homologação;
• Utilizar linguagem SQL para realizar consultas, rastrear dados e identificar inconsistências que ajudem no diagnóstico preciso dos incidentes;
• Navegar e depurar o código-fonte para entender o fluxo da aplicação e auxiliar na identificação de falhas, com foco na análise e não no desenvolvimento;
• Documentar as soluções aplicadas em nossa base de conhecimento, garantindo o compartilhamento de informações e agilizando futuras resoluções;
• Executar testes em APIs e WebService com o apoio de ferramentas como Postman, garantindo a correta comunicação entre sistemas;
• Colaborar na priorização de chamados com base no impacto para o negócio, desenvolvendo uma visão crítica sobre os processos da companhia;
• Trabalhar em equipe, buscando apoio de analistas mais experientes e compartilhando aprendizados.

Analista de Sistemas Júnior – Sustentação de Soluções

Frontend Engineer

• Strong experience in React.js for building robust and responsive user interfaces;
• Deep knowledge of C# (.NET) for backend development and business logic;
• Proven experience with Microsoft SQL Server for data modeling, complex query development, and performance optimization;
• Experience in Software Architecture;
• Design patterns;
• Experience with Systems Integration;
• Knowledge of Information Security;
• Experience with DevOps;
• React Native development.

Fullstack Systems Specialist, React.js, C#

• Develop solutions and agents based on large language models (LLMs) for application in the company's products, processes, and services;
• Perform fine-tuning and customization of pre-trained models;
• Design and implement data pipelines for model training and evaluation, including preprocessing, tokenization, and dataset curation;
• Integrate generative AI models into enterprise systems, APIs, and business workflows to enable automation and value generation;
• Explore and apply RAG techniques, embeddings, and hybrid architectures when necessary;
• Explore and apply prompt engineering techniques;
• Monitor and evaluate model performance using appropriate metrics;
• Propose continuous improvements to systems, pursuing innovations and development best practices;
• Collaborate with development, data, and product teams to ensure robust, secure solutions aligned with business needs;
• Document processes, experiments, and best practices, contributing to the team's technical knowledge and evolution.

Data Scientist Specialist – Generative AI Focus

DevOps Engineer

• Monitor systems proactively, analyzing metrics, logs and traces to identify and anticipate potential issues;
• Support incident response by collaborating with the team to diagnose and resolve problems in production environments, focusing on reducing mean time to recovery (MTTR);
• Use SQL to perform queries, track data and identify inconsistencies that aid accurate incident diagnosis;
• Assist in automating manual and repetitive tasks, contributing to the creation and maintenance of scripts and CI/CD pipelines;
• Document incidents, applied solutions and operational procedures in our knowledge base, ensuring information sharing;
• Collaborate with development teams to integrate reliability practices from the early stages of projects;
• Learn and apply Infrastructure as Code (IaC) concepts to provision and manage infrastructure in an automated way.

Junior Systems Analyst – SRE

Data Engineer

• Serve as technical lead in data engineering (tech lead);
• Produce technical documentation that complements business scope;
• Ability to negotiate deadlines;
• Develop and maintain scalable data architectures, including the creation and maintenance of pipelines;
• Ensure data integrity, quality and consistency by implementing cleansing and validation procedures (code review);
• Improve performance of ETL processes, databases and infrastructure to enhance operational efficiency and fast access to data;
• Collaborate with multidisciplinary teams, guiding requirement definition and delivering data solutions aligned with business needs;
• Design and implement advanced data models, promoting governance best practices for effective data management and organization;
• Ensure data security and compliance, adhering to regulations and best practices for privacy and protection of sensitive information;
• Identify and support resolution of technical and operational challenges related to data pipelines, optimizing processes and data availability;
• Research and implement new technologies and approaches to improve the efficiency and quality of the data ecosystem.

Senior Data Engineer

• Personal Data Mapping: Support processes for identifying, classifying, and inventorying personal data across systems and corporate databases;
• Privacy Incident Management: Assist in the analysis, response, and reporting of incidents involving personal data;
• Risk Assessments (DPIA/LIA): Participate in privacy impact assessments, review risks, and propose mitigation actions;
• Consent and Data Subject Rights Management: Support fulfillment of data subject requests (access, correction, deletion, etc.) in accordance with legal requirements;
• Access Management Support: Contribute to periodic access reviews for sensitive data, supporting least-privilege initiatives and segregation of duties;
• Audit and Compliance Support: Respond to internal and external audit requests, providing evidence and reports related to data protection;
• Awareness and Training: Assist in creating and disseminating privacy and data security awareness materials for employees;
• Contract Review and Third-Party Assessments: Help analyze contract clauses related to data protection and support vendor due diligence processes;
• Data Governance Support: Participate in initiatives to improve data quality, ensuring alignment with data protection policies.