Extractta

• Work with Python and Spark for large-scale data processing, using Airflow as the orchestration tool. • Own extraction and integration pipelines on AWS, operating in distributed environments such as Kubernetes and EMR. • Work on data storage and analytical layers using SQL, S3 and Trino, supporting data modeling and analytical queries. • Participate in defining and maintaining data infrastructure with Terraform, backed by a proprietary Infrastructure-as-Code (IaC) framework. • Collaborate with engineering, analytics and business teams on Spark job tuning and optimization, pipeline versioning and standardization, and contribute to platform observability, governance and scalability best practices.

• Projetar e entregar produtos de dados com arquitetura bem definida, contratos de dados legíveis e padrões de consumo claros para outras equipes. • Estruturar e disponibilizar dados do Data Lake de forma que possam ser consumidos por sistemas de IA Generativa, tornando o contexto dos modelos mais rico e preciso. • Implementar soluções de entrega de dados utilizando técnicas como RAG (Retrieval-Augmented Generation), Agentes de IA e MCP (Model Context Protocol). • Garantir contratos de dados claros e versionados, facilitando o consumo por times de produto e engenharia. • Colaborar com outras equipes para entender suas necessidades de dados e assegurar que os produtos entregues sejam aderentes aos casos de uso. • Implementar e manter o monitoramento de soluções de IA Generativa. • Garantir a observabilidade dos serviços (ex.: serviços MCP) por meio de OpenTelemetry e demais ferramentas da stack de observabilidade. • Contribuir com a definição e a evolução dos padrões de arquitetura de produtos de dados do time. • Atuar na construção ou manutenção de pipelines de dados quando necessário.

• Desenvolver e entregar produtos de dados seguindo a arquitetura definida, com contratos de dados legíveis e padrões de consumo claros para outras equipes. • Estruturar e disponibilizar dados do Data Lake de forma que possam ser consumidos por sistemas de IA Generativa, tornando o contexto dos modelos mais rico e preciso. • Implementar soluções de entrega de dados utilizando técnicas como RAG (Retrieval-Augmented Generation), Agentes de IA e MCP (Model Context Protocol). • Manter contratos de dados claros e versionados, facilitando o consumo por times de produto e engenharia. • Colaborar com outras equipes para entender suas necessidades de dados e garantir que as entregas sejam aderentes aos casos de uso. • Implementar e manter o monitoramento de soluções de IA Generativa. • Apoiar a observabilidade dos serviços (ex.: serviços MCP) por meio de OpenTelemetry e demais ferramentas da stack de observabilidade. • Contribuir com a aplicação dos padrões de arquitetura de produtos de dados do time. • Atuar na construção ou manutenção de pipelines de dados quando necessário.

• Design, build, and maintain complex, distributed systems for the full machine learning lifecycle (from ingestion to production monitoring); • Implement and evolve our MLOps architecture, including Feature Store concepts, Model Serving, and automated CI/CD pipelines; • Manage and apply cloud infrastructure for the team's projects using Infrastructure as Code (IaC) practices; • Develop internal tools and frameworks to optimize the team's workflows; • Ensure adoption of software engineering best practices (testing, clean code, sustainable architecture); • Collaborate with business areas (Product, Customer Success, and Sales/Marketing) to translate commercial needs into viable technical solutions.

• Provide support, maintenance and evolution of the Master Data Management (MDM) ecosystem • Manage incidents and perform root cause analysis, ensuring service stability • Operate in critical environments within an SLA-driven operational model • Support data processes and business areas that rely on master data • Participate in data governance routines • Generate operational reports • Continuously contribute to process improvements and data quality • Interact with multidisciplinary teams in day-to-day operations.

• Traduzir demandas de negócio em problemas e soluções de engenharia de dados. • Projetar, desenvolver e implementar pipelines de dados escaláveis e resilientes. • Construir e manter processos de ingestão, transformação e disponibilização de dados. • Garantir a qualidade, performance e governança das soluções implementadas. • Participar da definição de arquiteturas e padrões de engenharia de dados. • Atuar em conjunto com times multidisciplinares, apoiando iniciativas orientadas a dados. • Realizar troubleshooting e otimização de processos e ambientes de dados.

• Develop, maintain, and enhance web applications using C#/.NET and ASP.NET Web Forms; • Provide support and maintenance for production systems, ensuring application stability and good performance; • Diagnose and resolve incidents and technical issues, contributing to operations in a mission-critical environment; • Develop and integrate data access and manipulation routines; • Write clean, testable, and maintainable code following development best practices; • Participate in code reviews and contribute to the team’s technical growth; • Work collaboratively with cross-functional teams and business stakeholders; • Contribute to the continuous improvement of development and support processes.

• Develop and enhance backend services focused on authentication, authorization, and identity management; • Design and implement secure flows based on OAuth 2.0, OpenID Connect (OIDC), and SSO; • Contribute to architectural decisions, defining security, scalability, and resilience patterns; • Integrate applications with identity providers (IdP) and IAM services; • Work on the frontend layer when required, ensuring end-to-end integration; • Develop and consume secure, well-documented REST APIs; • Write clean, testable, and maintainable code, following best practices and architectural patterns; • Participate in code reviews and support the team's technical growth; • Collaborate with multidisciplinary teams (product, security, engineering).

• Develop and maintain web applications using Angular • Build responsive, high-performance, and accessible interfaces aligned with the design system and UX/UI guidelines • Consume and integrate REST APIs in collaboration with backend teams • Write clean, testable, and maintainable code, following best practices and frontend architecture patterns • Participate in code reviews and contribute to the team's technical growth • Work collaboratively with cross-functional teams (product, design, and engineering) throughout the development cycle • Support the definition of technical solutions and continuous improvement of development processes.

• Define and lead the vision, strategy, and roadmap for data products aligned with business objectives and the company’s data platform. • Translate business and cross-functional team needs into clear data product requirements, with readable data contracts and well-defined consumption patterns. • Prioritize the backlog based on value, effort, and impact, balancing demands from multiple stakeholders. • Partner with Data Engineering, Data Science, AI, and Product teams to enable scalable, reusable deliveries. • Define and track success, adoption, and quality metrics for data products. • Ensure delivered products meet the use cases of consuming teams, including Generative AI applications and autonomous agents. • Safeguard data governance, reliability, and compliance (including LGPD) in collaboration with responsible areas. • Communicate decisions, trade-offs, and roadmap evolution clearly to technical and business audiences.