Minsait

Data Engineer

• Develop and maintain data pipelines in Big Data environments (batch and, when necessary, near real-time);
• Implement data ingestion, transformation and load processes (ETL/ELT);
• Work on data modeling in distributed environments (Hive and Impala);
• Manage and optimize queries over large volumes of data;
• Orchestrate data workflows using Apache Airflow;
• Develop scripts and applications in Python for data processing;
• Use notebooks (Jupyter and Hue) for exploration, development and testing;
• Ensure data quality, integrity and governance;
• Implement best practices for versioning, documentation and observability;
• Support the construction of the semantic layer for consumption by BI tools;
• Develop APIs for data ingestion and extraction;
• Create RESTful services for integration between internal and external systems;
• Implement validation, transformation and data control routines in APIs;
• Ensure performance and scalability when consuming large volumes of data;
• Maintain and evolve existing APIs, ensuring stability and compatibility;
• Implement access control and security (authentication and authorization);
• Monitor and log executions for traceability and auditing;
• Document APIs using Swagger/OpenAPI.

Data Engineer – Senior

Data Analyst

• Support the development and maintenance of SQL queries for data extraction, transformation, and manipulation
• Assist with data preparation, cleansing, and organization for analytical purposes
• Help build and maintain data pipelines using PySpark
• Support the organization and structuring of data in Data Warehouse environments
• Follow best practices in dimensional modeling, data partitioning, and relational data organization
• Apply basic data quality validations to ensure consistency and reliability of information
• Assist the team in analyzing and making data available for systems and analyses
• Work in partnership with the development team and the Product Owner (PO) to understand business rules
• Translate business needs into queries and data structures that support decision-making

Data Scientist

• Atuar no desenvolvimento de modelos estatísticos e de machine learning para problemas de predição, classificação e recomendação;
• Analisar grandes volumes de dados (Big Data), transformando-os em insights estratégicos para apoio à tomada de decisão;
• Desenvolver, testar e implementar modelos preditivos e algoritmos analíticos;
• Trabalhar com visualização de dados, criando dashboards e relatórios analíticos (ex: Power BI);
• Participar da construção e manutenção de pipelines de dados e soluções de engenharia de dados;
• Desenvolver APIs e realizar coleta de dados via Web Scraping;
• Aplicar boas práticas de DevOps e MLOps no ciclo de vida dos modelos;
• Colaborar com times multidisciplinares, garantindo comunicação clara e alinhamento de entregas;
• Traduzir análises técnicas em storytelling de dados para áreas de negócio.

Cientista de Dados

Project Manager

• Definir, gerenciar e evoluir a infraestrutura de Gerenciamento de Configuração (CM).
• Garantir a governança dos processos de versionamento, controle de mudanças e gestão de ambientes.
• Estabelecer políticas, padrões e boas práticas de gerenciamento de configuração.
• Assegurar a rastreabilidade entre requisitos, código, builds e versões liberadas.
• Supervisionar o processo de controle de mudanças em sistemas e ambientes.
• Garantir que alterações em código, infraestrutura e configurações sigam os fluxos estabelecidos.
• Coordenar processos de build, empacotamento e gestão de releases.
• Organizar e gerenciar repositórios de artefatos.
• Garantir a execução segura de deploys em diferentes ambientes.
• Contribuir para a evolução da infraestrutura de desenvolvimento.
• Promover práticas de integração e entrega contínua (CI/CD), com foco em automação e eficiência.
• Atuar em conjunto com equipes de desenvolvimento, arquitetura e operações.
• Orientar tecnicamente o time em boas práticas de configuração e versionamento.
• Apoiar auditorias e garantir conformidade com processos estabelecidos.

Analista de Projetos Senior, GCM

• Perform advanced statistical analyses, including hypothesis testing, regression analysis, time series, and statistical validation
• Develop and implement Machine Learning models (classification, regression, clustering)
• Work across the full modeling lifecycle: data preparation, training, tuning, validation and deployment
• Handle imbalanced datasets and optimize model performance
• Develop and optimize SQL queries for manipulating and analyzing large volumes of data
• Work with Hive for table creation, partitioning and query optimization
• Build and maintain data pipelines, ensuring quality, reliability and scalability
• Define and promote best practices in Analytics and Data Science
• Serve as a technical reference, supporting and mentoring the team
• Translate business problems into analytical solutions and data models
• Communicate insights clearly to support decision-making

Security Analyst

• Support the operation and protection of Operational Technology (OT) environments by identifying, analyzing and mitigating vulnerabilities in industrial systems;
• Continuously monitor alerts generated by IDS/IPS in OT networks, correlating events and supporting incident response;
• Participate in defining and reviewing security architectures for industrial environments, ensuring network segmentation, implementation of access control policies, and protection of critical assets;
• Perform vulnerability scans, risk analysis and develop corrective action plans in accordance with frameworks such as ISA/IEC 62443;
• Work alongside engineering and automation teams to ensure security measures are applied in a manner compatible with the availability requirements of industrial processes;
• Support audits, prepare technical reports and drive continuous improvements in OT security policies, contributing to the cyber resilience of industrial operations;
• Ensure compliance with security indicators.

Junior Cybersecurity Analyst

Backend Engineer

• Design, develop and evolve BPMN processes using Camunda (7 or 8)
• Develop and maintain backend applications in Java using Spring Boot
• Create and maintain automated tests to ensure delivery quality
• Participate in technical refinement with the team and involved stakeholders
• Support the team in resolving technical issues and promoting development best practices
• Participate in defining and evolving solution architectures
• Ensure application of best practices for development, versioning, and continuous integration
• Collaborate in agile ceremonies and throughout the software development lifecycle

Senior Java Developer, Camunda

Business Analyst

• Avaliar requisitos de negócio e engenharia, garantindo aderência à solução SOM Netcracker.
• Definir e acordar KPIs e indicadores de desempenho com a área de Negócios.
• Elaborar, revisar e aprovar requisitos funcionais e especificações técnicas para desenvolvimento, configurações e integrações do módulo.
• Identificar pontos críticos, propor soluções e realizar triagem de defeitos, direcionando correções às equipes técnicas.
• Definir e aprovar cenários de testes unitários, integrados e de homologação.
• Apresentar a solução às áreas envolvidas (Negócios, Qualidade, Infraestrutura, Segurança da Informação, Observabilidade e Gestão do Projeto), realizar handover para Produção, participar de war rooms e acompanhar o pós-produção, avaliando monitorias e elaborando laudos de saúde da aplicação.

Analista de Negócios e Sistemas – Service Order Management

DevOps Engineer

• Work on the automation and standardization of environments using Ansible, Git, and CI/CD pipelines.
• Support and evolve workloads running on Kubernetes/OpenShift clusters.
• Participate in the full deployment and release cycle, always prioritizing stability, risk mitigation, and continuous improvement.
• Collaborate daily with international teams (in English).
• Monitor, analyze, and respond to incidents in production environments.
• Contribute to the maturity of the DevOps team in Brazil by sharing knowledge and best practices.
• Occasionally participate in weekend deployment windows (rotational/on-call schedule).

DevOps Analyst, Mid-level

Analyst

• Responsible for analyzing and documenting system requirements, identifying solutions, and implementing improvements.
• Must have experience in systems analysis, knowledge of agile methodologies, and strong communication skills.
• Analytical mindset and the ability to work effectively in a team are important.

IT Functional Analyst – Mid-level

• Evaluate business and system requirements, ensuring alignment with the COM Netcracker solution, with a focus on integration between Customer Order Management, BSS and Billing.
• Define and agree KPIs and SLAs with the Business area.
• Prepare, review and approve functional requirements, technical specifications and integration documents for module development, configurations and interfaces.
• Identify critical issues, propose solutions and triage defects, directing fixes to technical teams. Define and approve unit, integration and acceptance test scenarios.
• Present the solution to involved areas (Business, Quality, Infrastructure, Information Security, Observability and Project Management), perform handover to Production, participate in war rooms and monitor post-production, evaluating monitoring reports and preparing application health reports.

Business Analyst – Customer Order Management

Systems Engineer

• Populate Jira with user stories
• Validate documentation and make necessary adjustments
• Perform peer reviews of requirements
• Support the team with questions and clarifications when needed

Systems Analyst, Mid-level

Sales Engineer

• Infrastructure Solutions Architect, designing and implementing robust, scalable, and secure environments on Windows and Linux platforms.
• Use observability practices and Infrastructure as Code (IaC) with tools such as Terraform and AWS CloudFormation to automate resource provisioning.
• Define reference architectures for cloud computing (AWS, Azure, and GCP), ensuring high availability and security compliance, and support development and operations teams in adopting best practices.

Solutions Architect, Business Development – Offerings

Full-stack Engineer

• Gerar relatórios com JasperReports, correção de bugs, implementação de melhorias, análise de impacto e suporte a ambientes produtivo. Atuando com arquitetura monolítica, deploy de aplicações EAR/WAR, troubleshooting de logs e controle de versionamento com Git/SVN, garantindo estabilidade, qualidade e continuidade de sistemas críticos.

Desenvolvedor Fullstack, PL

Software Engineer

• Develop and maintain data capture and ingestion services integrated with the COBOL environment.
• Work on data persistence in a historical receipts/vouchers database.
• Develop queries, routines, and processes for generating receipts/vouchers.
• Model, structure, and maintain databases according to business needs.
• Define and implement communication contracts between legacy systems and new interfaces.
• Participate in integrations with messaging tools, such as Kafka (when applicable).
• Ensure the stability, security, and performance of developed solutions.
• Analyze and resolve incidents in critical environments.