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Engineer

• Design and implement Industry 4.0 solutions, including IoT devices, automation systems, and digital twins, to optimize manufacturing processes
• Develop and deploy data analytics platforms to monitor real-time performance, predict maintenance needs, and improve decision-making
• Analyze existing processes and recommend improvements using Industry 4.0 technologies to reduce waste and increase efficiency
• Work with AI, IT, operations, and engineering teams to align Industry 4.0 initiatives with business goals
• Provide training to staff on new systems and technologies, ensuring smooth adoption and operation
• Stay updated on emerging Industry 4.0 trends and technologies to drive continuous improvement

Industry 4.0 Engineer

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 for analytics and reporting
• Engineer solutions using 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
• Contribute to solution architecture
• Deliver high-quality modern data solutions that drive measurable business value
• Facilitate design sessions with client stakeholders and present recommendations to leadership teams

• Design, build, and optimize modern data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks
• 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 for analytics and reporting
• Engineer solutions using 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
• Contribute to solution architecture and deliver high-quality modern data solutions that drive measurable business value
• Facilitate design sessions with client stakeholders and present recommendations to leadership teams

• Execute the full SAP data conversion lifecycle, from extraction planning and mapping to loading, validation, reconciliation and troubleshooting
• Perform master and transactional data loads into SAP using SAP Migration Cockpit, LTMC, ETL, SQL, Microsoft Excel, Power Query, Inquire and other approved tools
• Coordinate the design, testing, documentation and repeatable execution of migration objects, templates and load procedures
• Monitor progress, risks, defects, dependencies and readiness of data objects and migration cycles
• Contribute to conversion strategy, scope, objects, cycles, loading approach and readiness criteria for cutover
• Lead data mapping workshops with functional teams in Finance, Materials Management, Sales & Distribution, Supply Chain and other areas
• Document source-to-target mapping, transformation rules, ownership, cleansing, validation and approvals
• Coordinate with client IT, ERP and legacy systems on extraction formats, structures, mapping logic and load sequencing
• Support pre- and post-load validations, keeping the business as owner of quality, cleansing and formal validation
• Coordinate functional consultants, Basis, technical and integration teams, PMO, data owners, client IT and legacy stakeholders
• Provide status reporting, risk and issue escalation, dependency management, mitigation and readiness updates
• Align data ownership, validation responsibilities, approval criteria, sign-offs and cutover decisions
• Execute loads during cutover, coordinate final validations and resolve data issues during deployment
• Confirm completion of master data migration, open transactional items, balances and other in-scope objects
• Support final reconciliation and formal business approval prior to go-live
• Transfer mapping, procedures and load knowledge to client IT and Reply teams
• Support post-go-live stabilization, defect triage and additional knowledge transfers

SAP Data Conversion Consultant

Backend Engineer

• Analyze, design, develop and implement high-quality software solutions
• Collaborate with the team to ensure integration and continuous delivery of projects within established deadlines
• Participate in agile ceremonies (planning, review, etc.), ensuring alignment between project objectives and business goals
• Identify and resolve technical and operational issues, ensuring application stability and strong performance
• Contribute to continuous improvement of development and deployment processes
• Use code assistants to accelerate feature development
• Create effective prompts for code generation, refactoring and documentation
• Critically validate AI suggestions before acceptance
• Work on a high-complexity project in the insurance sector
• Operate in a dynamic environment with systems undergoing migration

Senior Developer – .NET

Procurement

• Provide functional support for Procurement and Materials Management processes
• Analyze, diagnose and resolve functional incidents and requests
• Support system configuration and parameterization according to business needs
• Gather and document functional requirements
• Prepare functional specifications and technical documentation
• Execute functional tests and support user acceptance/homologation processes
• Participate in implementation, improvement and support projects for solutions
• Interact with multidisciplinary teams and stakeholders to ensure delivery quality

Functional Analyst – Procurement Processes

• Construir e gerenciar pipelines confiáveis de dados envolvendo ingestão/coleta, processamento, integração, armazenamento e disponibilização de dados na organização
• Atuar em uma arquitetura de sistemas distribuídos para o processamento de dados massivos em paralelo (MPP)
• Combinar diversas fontes de dados heterogêneas
• Colaborar com equipes de análise e ciência de dados na construção de soluções e geração de valor baseadas em dados

Engenheiro de Dados – Pleno

Software Engineer

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Senior SAP ABAP Developer

• Respond to and resolve tickets promptly, minimizing operational impact;
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• Unblock and manage process queues;
• Analyze source code to identify issues and perform root-cause analysis;
• Automate processes and resolve tickets to optimize workflow;
• Support systems developed in multiple programming languages (Java, Node.js and Python);
• Collaborate with development teams to ensure service continuity;
• Maintain and improve monitoring and support scripts.

Senior Java Developer – Support and Projects

Data Scientist

• Act as a bridge between business areas and technology and data teams.
• Understand business problems and translate needs into structured initiatives.
• Identify and validate the expected value of requests before implementation.
• Support backlog prioritization with a focus on business impact.
• Manage and monitor the lifecycle of data products.
• Facilitate agile ceremonies and rituals with the teams.
• Track indicators, status, and the progress of initiatives.
• Prepare executive presentations, reports, and materials for managers, executive managers, and superintendents.
• Align expectations between technical and business stakeholders.
• Support the construction of roadmaps and strategies for data products.
• Act as a facilitator to remove impediments and align across areas.
• Influence decisions and directions based on data and value generation.

Data Product Manager

Frontend Engineer

• Design, develop, and maintain Angular-based web applications.
• Build responsive and user-friendly interfaces for manufacturing data products.
• Integrate front-end applications with RESTful APIs and backend services.
• Collaborate with backend and data engineering teams to consume data from knowledge graph solutions (e.g., Neo4j).
• Develop data visualization and dashboard components for manufacturing insights.
• Optimize application performance, scalability, and usability.
• Participate in architecture discussions, code reviews, testing, and deployment activities.
• Troubleshoot and resolve application issues while ensuring high code quality.

Angular Developer

SDET

• Atuação hands-on em automação de testes
• Criação, manutenção e evolução de scripts de automação para aplicações web
• Apoio em relatórios de qualidade e resultados de execução de testes
• Colaboração direta com o time de automação já estabelecido no projeto
• Identificação de oportunidades de melhoria nos processos de teste e automação
• Participação em rituais ágeis e alinhamento com stakeholders técnicos

Senior QA Engineer, Test Automation

Support Engineer

• Monitorar, detectar e resolver incidentes que impactem as capacidades e serviços, gestão de incidentes maiores e melhorias contínuas.
• Prestar suporte técnico aos usuário, relacionados a sistemas e aplicativos.
• Solucionar e direcionar incidentes para as equipes apropriadas.
• Colaborar com a equipe de desenvolvimento para identificar e resolver problemas técnicos.
• Atuar na criação e atualização de relatórios.

Analista de Suporte

Sales

• Profissional experiência em sustentação de sistemas ERP, identificação e resolução de incidentes, melhorias evolutivas e integração entre sistemas.
• Conhecimentos em APEX, integrações via API e Salesforce, com perfil analítico, capacidade de trabalhar sob pressão e foco em resultados.
• Boa comunicação com áreas funcionais e técnicas, garantindo alinhamento e agilidade nos atendimentos.

Consultor ERP, SalesForce

• Develop and maintain web applications using the .NET Framework and ASP.NET.
• Work with both legacy systems and modernization initiatives.
• Build integrations between systems and APIs.
• Participate in corrective and evolutionary maintenance and application support.
• Contribute to architectural and performance improvements.
• Support technology migration processes when required.

Industry 4.0 Engineer

Data Engineer

Data Engineer

SAP Data Conversion Consultant

Senior Developer – .NET

Functional Analyst – Procurement Processes

Engenheiro de Dados – Pleno

Senior SAP ABAP Developer

Senior Java Developer – Support and Projects

Data Product Manager

Angular Developer

Senior QA Engineer, Test Automation

Analista de Suporte

Consultor ERP, SalesForce

Senior Fullstack Developer, .NET, C#, WebForms, ASP.NET