Data Engineer

• Design and implement data ingestion, transformation, and delivery pipelines in modern architectures (Data Lake, Lakehouse, Bronze/Silver/Gold layers or equivalents);
• Lead the migration of traditional BI workloads and models to modern environments, preserving traceability and ensuring data quality;
• Develop solutions in Python and SQL with a focus on maintainability, testability, and performance;
• Integrate data sources using event-driven architectures (Kafka or equivalents), ensuring low latency and consistency;
• Define and document data modeling, quality, and governance standards for team adoption;
• Collaborate with software engineers, data scientists, and product teams to ensure delivered data is correct, reliable, and usable.

Data Engineer – Modernization and Data Architecture

• 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.

Engenheiro de Dados, Pleno

• Develop, evolve, and optimize large-scale data pipelines;
• Design solutions for data ingestion, transformation, and delivery;
• Ensure efficiency, performance, and reliability of production pipelines;
• Integrate data from multiple sources and systems;
• Work on workflow orchestration and pipeline automation;
• Support incident resolution and continuous improvements of the data platform;
• Collaborate with cross-functional teams (engineering, product, and business);
• Contribute to data engineering best practices, architecture, and governance;
• Participate in technical definitions and platform evolution.

Senior GCP and Azure Data Engineer

• Define and evolve enterprise data models (conceptual, logical, and physical);
• Design data structures for modern environments (Data Lake, Lakehouse, Data Warehouse);
• Ensure modeling standards are scalable, resilient, and domain-oriented;
• Support the definition of data architecture and engineering best practices;
• Collaborate with business areas to understand needs and structure data solutions;
• Define and promote data governance, quality, and organization standards;
• Serve as a technical reference, supporting engineering and analytics teams;
• Participate in the evolution of data pipelines and structures, ensuring adherence to defined models.

Data Architect – Modeling Focus

• Desenvolver extrações de dados das mais variadas fontes existentes no Grupo 3corações;
• Criar transformações de dados que facilitem a criação de relatórios pelos usuários;
• Desenvolver ingestões na ferramenta de ETL Informática Cloud;
• Desenvolver transformações usando SQL e Dynamic Tables;
• Criar modelo de dados das soluções que irá implementar;
• Elaborar documentação do fluxo de dados e do código desenvolvido.

Engenheiro de Dados Pleno – Informática Cloud

• Work on strategic projects involving migration, integration, automation, and process improvement
• Design, implement, and sustain data pipelines connecting OMS/EMS, risk/performance systems, internal platforms, custodians, and administrators
• Build data pipelines capable of identifying business opportunities from internal and external data
• Build and maintain high-reliability, high-performance ETLs/ELTs
• Develop integrations via APIs, SFTP, messaging, or proprietary connectors
• Document processes, data flows, and technical solutions for future reference, ensuring knowledge is shared and preserved
• Collaborate with business analysts to define calculation rules, granularity, data quality, and key fields
• Identify and implement continuous improvements focused on efficiency, performance, governance, and cost, delivering value to the business.

Data Engineer – Asset

• Capacidade de desenhar e implementar data lakes, data warehouses e data lakehouses escaláveis, com sólida experiência em AWS.
• Especialista em Python e SQL avançado para transformação de dados, além de conhecimento profundo em ferramentas de processamento distribuído como Apache Spark
• Domínio de ferramentas de orquestração para criar pipelines de dados robustos e monitoráveis.
• Implementação de práticas de CI/CD, automação de testes, monitoramento e observabilidade de pipelines
• Conhecimento em governança de dados, catálogos de metadados e técnicas de modelagem de dados

Engenheiro de Dados – AWS

• Perform registrations and updates of technical lists (BOMs), production routings and materials in SAP.
• Validate requests and ensure consistency between BOM, routing and work centers.
• Maintain standards, rules and registration procedures across plants.
• Support the definition and review of consumption methods.
• Communicate changes, train users and provide technical support for tickets.
• Monitor the quality of registrations, rework and SLA indicators.
• Participate in cost analyses and impact assessments for new products/processes/projects.
• Consolidate weekly and monthly registration performance reports.

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