Inmetrics

Data Engineer

• Monitorar, medir e reportar a qualidade dos dados, identificando inconsistências e coordenando planos de limpeza (data cleansing).
• Criar e manter o dicionário de dados e o glossário de termos de negócio para garantir que todos falem a "mesma língua".
• Garantir que o tratamento de dados esteja em conformidade com políticas internas e regulamentações (como a LGPD).
• Documentar a linhagem dos dados (*data lineage*) para que se saiba de onde a informação vem e por onde ela passa.
• Apoiar usuários de negócio no entendimento dos dados e auxiliar a equipe técnica (Arquitetos e Engenheiros) na implementação de regras de negócio.

Especialista de Engenharia de Dados I

Full-stack Engineer

• The ideal candidate is not only an excellent developer but also a systems thinker.
• They must be able to design resilient architectures, make difficult decisions about technical trade-offs, and provide technical leadership to teams to ensure today's code doesn't become tomorrow's nightmare.
• System Design: Deep experience with architectural patterns (Microservices, Event-Driven, Serverless, Modular Monoliths).
• Cloud Ecosystem: Advanced expertise in AWS, Azure, or GCP, with a focus on cost optimization and high availability.
• Technology Stack: Proficiency in high-performance languages (Java, Go, .NET, or Python) and understanding of when to use SQL vs. NoSQL.
• DevOps & Observability: Strong knowledge of CI/CD, Docker, Kubernetes, and monitoring tools (Prometheus, Grafana, ELK).
• Security: Applying Security by Design, OAuth2, and LGPD (Brazil's General Data Protection Law).
• Communication: Ability to explain complex technical concepts to non-technical stakeholders.
• Mentoring: Raise the technical level of developers through code reviews and pair programming.
• Pragmatism: Focus on delivering value, recognizing that "fashionable technology" isn't always the best solution.
• Conflict Resolution: Mediate technical disputes and define engineering standards.

Software Engineering Specialist I

Business Analyst

• Focus: Lead B2B data strategy and digital segmentation as a competitive advantage.
• Roadmap Management: Define and prioritize the backlog for Corporate Data products (Firmographics and Intent Data) and Digital Audiences (individuals and companies).
• Experience with products for legal entities (B2B), preferably involving data commercialization.
• B2B Data Strategy: Ensure the quality of the company's Golden Record (CNPJ, CNAE, Revenue) to support Account-Based Marketing (ABM) strategies.
• Audiences and Activation: Operationalize audience segments in CDP/DMP platforms, focusing on Lookalike models and third-party data enrichment.
• Governance and Compliance: Ensure all data products comply with the LGPD, maintaining ethics and information security.
• Business Interface: Validate whether tools (Ignite, Bluebox) are addressing the real pain points of clients' Growth and CRM teams.

Senior Digital Product Management Analyst

Software Engineer

• Realizar testes manuais em sistemas e aplicações, seguindo procedimentos e padrões de qualidade estabelecidos.
• Documentar resultados e evidências de teste, identificando e reportando defeitos encontrados.
• Auxiliar na elaboração de planos de teste e nas verificações de requisitos, garantindo cobertura adequada das funcionalidades.
• Participar da análise de problemas, auxiliando na identificação de causas e proposição de soluções.
• Contribuir para a melhoria contínua dos processos e práticas de controle de qualidade.
• Executar demais atividades inerentes à função, apoiando a equipe na entrega de produtos e serviços de alta qualidade.

Técnico de Engenharia de Qualidade

• Define and communicate the product vision, strategy, and roadmap to the team and stakeholders;
• Create, prioritize, and maintain the Product Backlog, ensuring items are clear, detailed, and ready for development;
• Define acceptance criteria and validate increments delivered by the team, ensuring adherence to business requirements;
• Act as a bridge between the development team, business areas, clients, and other stakeholders;
• Participate in agile ceremonies (Sprint Planning, Daily, Review, Retrospective), ensuring focus and direction;
• Make quick, well-founded decisions about scope, prioritization, and trade-offs based on data and feedback;
• Analyze usage data, product metrics, and user feedback to guide strategic decisions;
• Collaborate with UX, Architecture, Engineering, and other areas to ensure technical feasibility and delivery quality;
• Manage stakeholder expectations by transparently communicating status, impediments, and scope changes.

Senior Project Management Analyst

Threat Intelligence Specialist

• Develop and implement analyses and analytical models;
• Build and optimize data pipelines for efficient processing;
• Create visualizations and dashboards that communicate insights clearly;
• Perform exploratory data analysis to identify patterns and trends;
• Collaborate with business teams to understand needs and requirements;
• Participate in analytics projects from start to finish, from planning to implementation;
• Document data analysis processes and methodologies.

Senior Data Intelligence Analyst

DevOps Engineer

• Reliability engineering for critical platforms.
• Infrastructure and operations automation.
• Implementation of observability and advanced monitoring.
• Incident management and root cause analysis (RCA).
• Performance optimization and system scalability.
• Cloud platform and Kubernetes engineering.
• Reduction of toil through automation and continuous improvement.
• FinOps strategies and cloud cost governance.
• Implementation of DevOps and SRE practices in complex environments.
• Ensure systems and platforms operate with high availability, operational efficiency, and full visibility of the environment.

Site Reliability Engineer – SRE

QA Engineer

• Work on current and future projects and opportunities aligned with your profile and experience
• Quality Engineering
• Test Automation
• QA focused on functional and exploratory testing
• QA focused on API testing
• QA specialized in performance and load testing
• QA focused on mobile environments
• Specialists in software quality and reliability

Software Quality – QA

Robotics

• Manage and execute highly complex process automation projects using Power Automate, Foundry and other related technologies;
• Serve as the technical reference for designing automation solutions, assessing feasibility and implementation complexity;
• Define automation strategies and methodologies to maximize the cost-effectiveness of technology resources;
• Develop and optimize automations in legacy environments using UI Automation and controlled scraping techniques;
• Lead integration between corporate systems via APIs, connectors and custom scripts;
• Implement and review technical standards for version control, exception handling and logging in automation solutions;
• Build operational dashboards and performance reports to monitor bots and automated processes;
• Collaborate with business areas to identify, prioritize and document automation opportunities.

RPA Specialist, Power Automate

• Develop complex automation bots in Power Automate (Desktop and Cloud), applying structured logic, reusable components and secure integrations;
• Build solutions for systems without native APIs (e.g., Orbium, GDC, NFC, e-Bank), using customized, sustainable approaches;
• Ensure coding standards, logging and exception handling according to the client's established framework;
• Conduct end-to-end integrated testing (E2E), implement fixes prior to Go-Live and monitor bot performance in production, applying adjustments as needed;
• Produce comprehensive technical documentation (PDD, SDD, flow diagrams, user guides and acceptance criteria) and support process reviews with business analysts;
• Actively participate in agile ceremonies (Scrum/Kanban), collaborating with business and technology teams.

Senior RPA Developer – Power Automate

• Develop and implement analyses and analytical models
• Build and optimize data pipelines for efficient processing
• Create visualizations and dashboards that clearly communicate insights
• Perform exploratory data analysis to identify patterns and trends
• Collaborate with business teams to understand needs and requirements
• Participate in analytics projects end-to-end, from planning through implementation
• Document data analysis processes and methodologies

Mid-level Data Intelligence Analyst

• Develop dashboards and reports in Power BI focused on management and performance metrics.
• Extract and organize data from Azure DevOps (Boards, Work Items, Queries, and Analytics Views).
• Create KPIs related to backlog, throughput, lead time, activity cycle time, and demand volume.
• Perform basic to intermediate data modeling (table relationships, fact/dimension structure).
• Create measures and calculations using DAX.
• Ensure consistency and reliability of the presented metrics.
• Support the definition and review of metrics with the relevant stakeholders.
• Document calculation rules and criteria used in the dashboards.

• Develop and maintain applications using C#/.NET and .NET Core;
• Develop and maintain modern web interfaces using React, Next.js and TypeScript;
• Implement reusable components following UI/UX best practices and a design system;
• Work with Server Components, API Routes, SSR/SSG, ISR and hybrid architectures in Next.js;
• Use styling tools such as Styled Components, CSS Modules, Tailwind CSS or similar;
• Integrate front-end with REST and SOAP APIs and back-ends in microservices;
• Implement high-quality solutions with a focus on scalability, security and performance;
• Contribute to system design and architecture definition;
• Analyze and resolve technical issues;
• Conduct and participate in code reviews and support the technical development of the team;
• Implement unit and integration tests using frameworks such as NUnit, xUnit or others.

Full Stack Developer

Analyst

• Monitors and reviews database performance parameters
• Generates performance reports
• Works on multiple concurrent projects, proposing database solutions
• Performs and reviews performance optimizations and execution plans
• Recommends improvements to environment management and performance in mission-critical, high-availability systems
• Analyzes database performance indicators
• Optimizes performance of relational and non-relational databases
• Troubleshoots relational and non-relational databases
• Performs query performance optimization

Mid-level Database Analyst

Backend Engineer

• Hands-on knowledge of microservices architecture.
• Strong knowledge of Java (11 or higher), Python 3, and SQL.
• Practical experience developing microservices using SpringBoot and/or Quarkus.
• Ability to perform code analysis and optimization.
• Intermediate knowledge of algorithms, data structures, and design patterns in Java.

Especialista de Engenharia de Dados I

Software Engineering Specialist I

Senior Digital Product Management Analyst

Técnico de Engenharia de Qualidade

Senior Project Management Analyst

Senior Data Intelligence Analyst

Site Reliability Engineer – SRE

Software Quality – QA

RPA Specialist, Power Automate

Senior RPA Developer – Power Automate

Mid-level Data Intelligence Analyst

Mid-level Data Intelligence Analyst

Full Stack Developer

Mid-level Database Analyst

Software Engineering Analyst – Java