Role Description Gerar insights para os clientes, através de atividades e processos de baixa/média complexidade, garantindo sua integridade e segurança, e colaborando com as equipes para impulsionar a tomada de decisões e a inovação. Atividades: - Integração de Dados: Executar o processo de integração e automatização de alta/crítica complexidade, desenvolvendo pipelines que coletam, limpam, transformam, organizam e integram dados de múltiplas fontes, através de linguagens de programação, ETL e outras ferramentas específicas, visando assegurar a qualidade, clareza e consistência dos dados integrados. - Modelagem de Dados: Executar a estruturação lógica e organização de dados de alta/crítica complexidade, aplicando técnicas de modelagem de acordo com as melhores práticas, através de ferramentas e linguagens específicas de modelagem de dados, com o objetivo de gerar insights para análises e garantir uma organização precisa e manipulação eficiente dos dados. - Análise de Dados: Extrair, analisar e gerar relatórios, com base no levantamento de dados de alta/crítica complexidade, ferramentas específicas, propondo insights para tomadas de decisão, visando focar na disponibilidade, escalabilidade e desempenho das aplicações. - Documentação Técnica: Elaborar documentação técnica para o cliente, através de modelos estabelecidos, visando facilitar a compreensão e utilização das soluções pelos clientes. - Análise de Negócio: Colaborar diretamente com o cliente na análise e levantamento de necessidades e requisitos específicos, visando desenhar e planejar a execução de processos de ETL alinhados com os objetivos estratégicos da empresa. - Melhoria Contínua: Identificar e propor soluções de melhorias e inovações dentro das ferramentas e processos, visando garantir qualidade nas entregas com mais agilidade. Qualifications - ETL com foco na criação de pipelines de dados - SQL (avançado) - Python para manipulação de dados (pandas, PySpark, etc.) - AWS e Databricks - Git (GitHub/Gitlab) - Data visualization (Power BI) - Plataformas de nuvem: AWS e Microsoft Azure - Experiência em análise de dados (criação de dashboards, modelagem de dados e geração de insights) Benefits - 🍽️ Vale Refeição - 🏥 Assistência Médica - 🦷 Assistência Odontológica - 💙 Seguro de Vida - 🩺 StarBem - Psicoterapias e Nutricionista - 🤸‍♀️ Ginástica Laboral - 🏋️ Wellhub (Gympass) - 👶 Auxílio Creche - 💵 Creditas - 🎓 Parceria com Instituições de Ensino - Plano PET - Parceria com o SESC - 💰 Bonificação por Certificação - 🤑 Bonificação por Indicação - 👩🏻‍💻 Equipamentos fornecidos pela MATH Company Description A MATH é um ecossistema de ciência de dados e inteligência artificial dedicado a resolver problemas complexos de negócio. Atuamos ao lado de empresas que precisam transformar grandes volumes de dados em decisões mais claras, rápidas e eficientes.

• Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data across the organization. • Develop and optimize distributed data processing jobs using Python for large-scale data transformation and aggregation. • Architect and manage PostgreSQL schemas, tables, indexes, and query performance to support downstream analytics and reporting. • Build and maintain Python-based data workflows to orchestrate, validate, and deliver data reliably across environments. • Monitor and improve data quality, freshness, and completeness through automated checks, alerting, and observability tooling. • Design and manage cloud-based data infrastructure on AWS • Partner with data analysts and stakeholders to translate requirements into well-modeled, maintainable data products. • Maintain documentation for pipelines, data models, data lineage, and infrastructure. • Troubleshoot pipeline failures and data issues, providing timely root-cause analysis and remediation.

Role Description Data Engineer altamente qualificado(a) para integrar o time de Global Trading. O(a) profissional deverá possuir uma sólida compreensão de desenvolvimento full-stack, com forte foco na criação e manutenção de aplicações escaláveis, de alta performance e com qualidade. - Colaboração contínua com equipes técnicas, incluindo Fusion Developers, arquitetos e code owners. - Contribuição ativa para o desenvolvimento de soluções inovadoras que suportem e aprimorem as operações de trading. Qualifications - 5 a 9 anos de experiência em desenvolvimento de software. - Experiência comprovada na construção, operação e suporte de bancos de dados e pipelines de dados robustos e de alta performance. - Experiência em desenvolvimento full-stack. - Forte domínio de SQL e sistemas de gerenciamento de banco de dados. - Sólido conhecimento em modelagem de dados, indexação e otimização de queries. - Experiência no desenvolvimento e manutenção de aplicações web utilizando frameworks e tecnologias modernas. - Conhecimento em otimização de performance web, segurança e boas práticas. - Certificações relevantes são consideradas um diferencial. Requirements - Obrigatório: Snowflake, Python, Databricks, ReactJS, FastAPI. - Experiência com desenvolvimento front-end (frameworks/libraries) e Python. - Forte atuação em desenvolvimento back-end. - Experiência com Databricks e Snowflake. - Familiaridade com serviços de nuvem (AWS, Azure ou Google Cloud). - Capacidade de realizar testes completos de produto, incluindo interface front-end e processamento back-end. - Para a função de Data Engineer, não é obrigatório domínio em React, pois o foco principal será ingestão e curadoria de dados utilizando Databricks. Company Description

Job Description We are seeking an experienced Cloud Data Warehouse and AI/ML Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools. Key Responsibilities: - Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources - Build and maintain data warehouses, including data modeling, data governance, and data quality - Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies - Optimize data systems for performance, scalability, and reliability - Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift - Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions - Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling - Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning - Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn - Work with data scientists to develop and deploy data-driven products and features - Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks - Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues Required Education, Experience, & Skills - Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology - Proficiency in one or more programming languages (e.g., Python, Java, Scala) - 6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems - 5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server. - 5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases - Strong understanding of database design principles, data modeling, and data governance - Proficiency in SQL, including query optimization, indexing, and performance tuning - Experience with data warehousing concepts, including star and snowflake schemas - Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components - Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift) - Experience with data processing frameworks such as Apache Kafka, Fivetran - Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark - Understanding of data quality and governance principles and best practices - Experience with AWS services and best practices Soft Skills: - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams - Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components - Ability to work in a fast-paced environment and adapt to changing priorities - Strong attention to detail and ability to maintain high-quality documentation - Commitment to continuous learning and professional development Preferred Education, Experience, & Skills - Experience with Dataiku - Experience with building reports using PowerBI and Tableau - Familiarity with agile development methodologies and version control systems such as Git - Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer) - Experience with agile development methodologies such as Scrum or Kanban Pay Information Full-Time Salary Range: $79370 - $134929 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems, Inc. BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.