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Analyst

• Apoiar no desenvolvimento e implementação de algoritmos de visão computacional para inspeção de qualidade
• Auxiliar na coleta, organização e anotação de dados para treinamento de modelos
• Dar suporte na análise de desempenho dos modelos, ajudando na identificação de melhorias
• Participar de testes e validações de soluções em ambiente controlado e produtivo
• Contribuir com pesquisas de novas ferramentas, bibliotecas e abordagens na área de visão computacional
• Documentar atividades, experimentos e resultados, garantindo a rastreabilidade das soluções
• Trabalhar em conjunto com times multidisciplinares (engenharia, dados, produto)

Analista Junior de Visão Computacional

Full-stack Engineer

• Atuar com React e .NET Core para desenvolvimento e sustentação de solução

Desenvolvedor Pleno Full Stack

Data Analyst

• Leverage AI-Driven Insights – Utilize AI and machine learning (e.g., Google Cloud AI, BigQuery ML) to connect marketing data sources, identify predictive trends, and deliver actionable insights that drive business growth
• Manage Analytics Platforms – Implement and maintain Google Analytics (via GTM) and other data tools to ensure accurate, scalable tracking and integration across systems
• Develop Data & Measurement Strategies – Create measurement frameworks and KPIs that align with business objectives, incorporating AI-driven analysis for smarter decision-making
• Design Business Intelligence Dashboards – Build and maintain data visualizations and reports in Tableau, Power BI, or Looker Studio to communicate insights clearly to stakeholders
• Optimize Experiences with Data – Partner with marketing and UX teams to drive conversion optimization and personalization through platforms
• Enable Data-Driven Culture – Educate teams on analytics best practices, AI applications, and emerging trends to strengthen data literacy and adoption across the organization

DevOps Engineer

• Support a global project ensuring stability and performance of a live production environment
• Maintain and improve cloud infrastructure
• Support deployments and handle operational challenges in a dynamic setting
• Collaborate with distributed teams

Senior TechOps – DevOps Engineer

Engineer

• Supporting the engineering team in building smart manufacturing solutions
• Gaining hands-on experience working on IIoT projects
• Integrating software with industrial systems
• Supporting data-driven applications across manufacturing environments
• Contributing to real-world digital transformation efforts while developing skills in modern automation and connected factory architectures

Industry 4.0 Engineer Intern

Data Engineer

• Design, build, and optimize modern data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks
• Combine deep technical expertise with strong consulting skills
• Engage directly with clients, understanding business needs, translating requirements into scalable technical solutions
• Communicate clearly with both technical and non-technical stakeholders

Senior Data Engineer

• Work directly with clients to understand business goals, data challenges, and technical requirements.
• Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews.
• Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
• Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases.
• Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks.
• Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.

Backend Engineer

• Implement solutions in Oracle and PL/SQL;
• Implement unit tests, ensuring code quality and coverage;
• Develop and maintain robust, scalable back-end APIs in Java Spring Boot;
• Implement unit tests, ensuring code quality and coverage;
• Actively participate in agile ceremonies (Scrum), contributing to the resolution of technical challenges and deliveries;
• Investigate end-to-end issues by analyzing and debugging project code;
• Ensure delivery of high-quality code from requirement capture through deployment to environments;

Senior Java Developer, Database

Scrum Master

• Plan, coordinate and monitor the execution of medium- to high-complexity software and technology projects
• Act as Scrum Master supporting one or more squads, ensuring effective practice of agile rituals (Daily, Planning, Review and Retrospective)
• Support Product Owners in backlog management and prioritization, ensuring clarity and value in deliveries
• Ensure governance and traceability of requests through tools such as Azure DevOps, Jira or similar
• Identify and remove impediments that may affect team progress
• Develop and track project plans, schedules, risks and KPIs (velocity, lead time, burndown, etc.)
• Lead status meetings and executive reporting for local and international stakeholders
• Act as an agile change agent, promoting continuous improvement, learning and collaboration across teams

Project Manager, Scrum Master – Agile

Software Engineer

• Define the overall mobile architecture strategy for hybrid apps using Ionic and Cordova.
• Design scalable, maintainable, and high-performing mobile solutions for both iOS and Android platforms.
• Select appropriate plugins, libraries, and tools to optimize performance and user experience.
• Provide guidance to developers on best practices for code structure, performance optimization, and security.
• Conduct technical reviews of code, architecture, and solution design.
• Mentor junior and mid-level developers, fostering skill growth and knowledge sharing.
• Oversee development of reusable components, modules, and frameworks.
• Ensure seamless integration with backend services (REST APIs, GraphQL, authentication frameworks).
• Lead implementation of mobile features including offline capabilities, push notifications, and device hardware access.
• Define standards for testing, performance tuning, and security compliance.
• Work closely with QA teams to ensure high-quality deliverables.
• Troubleshoot complex production issues and propose sustainable fixes.

Senior Mobile Developer

Frontend Engineer

• Work in an international project for a Reply Group company
• Collaborate on complex projects
• Engage with a decentralized team

Senior React Developer

• Work directly with clients to understand business goals, data challenges, and technical requirements
• Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
• Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources
• Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
• Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
• Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
• Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams
• Contribute to estimation, project planning, and delivery management for client engagements

• Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
• Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
• Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
• Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
• Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
• Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Manager, Data Engineering

Customer Support

• Eagerness to learn and grow in HR
• Strong customer-service mindset
• Ability to manage multiple tasks with minimal guidance
• Positive, team-oriented attitude
• Ability to work both independently and collaboratively
• Critical thinking
• Detail oriented

Analista Junior de Visão Computacional

Desenvolvedor Pleno Full Stack

Data Analyst

Senior TechOps – DevOps Engineer

Industry 4.0 Engineer Intern

Senior Data Engineer

Data Engineer

Senior Java Developer, Database

Project Manager, Scrum Master – Agile

Senior Mobile Developer

Senior React Developer

Senior Data Engineer

Manager, Data Engineering

Manager, Data Engineering

HR Support Specialist