## Data EngineerSão Paulo,São Paulo,BRA## **The team you will be a part of***The Global Information Technology team plays a strategic role in driving technology and digital transformation across the company. The Data and AI team is responsible for design, deliver, and evolve technology solutions to improve data usage and drive long-term business results.*## **This role in summary***We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure that powers our analytics, products, and decision-making processes. You will be responsible for developing scalable data pipelines, optimizing data workflows, and ensuring high-quality, accessible data across the organization. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate with cross-functional teams including data scientists, analysts, and software engineers.*## **Your responsibilities will include*** Builds Data Pipelines prioritized by D&A (with support of DE lead and Data product owner);* Performs and documents Unit Tests for Data Pipelines;* Supports Data Product Owners (BI Teams and Data Science Team) on UAT Tests;* Coordinates Data Pipeline deployment (creates pull Request, requests Business approval, creates cutover plan, loads historical data, coordinates deployment with vendors and requests schedules);* Follows Solution Architecture, Data Architecture and Data Governance policies;* Documents developed Data Pipelines following Project documentation & Product documentation (KT);* Trains Data Sutain Team on deployed data pipelines (KT);## **Minimum requirements*** *Hands-on experience building and maintaining* ***batch and streaming data pipelines*** *using* ***Dataflow, Pub/Sub, and Cloud Storage****, following established production patterns.** *Strong proficiency in* ***BigQuery****, including partitioning, clustering, basic performance optimization, and* ***cost-aware design*** *under guidance.** *Experience with* ***workflow orchestration*** *using* ***Cloud Composer (Airflow)****, including task dependencies, retries, and failure handling.** *Proficiency in* ***Python*** *for data processing, with experience writing* ***unit tests*** *using frameworks such as* ***pytest*** *and applying data quality validation checks.** *Good understanding of* ***analytical data modeling****, including* ***Star Schema*** *concepts and* ***Medallion Architecture (Bronze/Silver/Gold)****.** *Solid software engineering fundamentals, including* ***Git-based workflows****, participation in* ***code reviews****, and basic experience with* ***Docker*** *and* ***CI/CD pipelines*** *(e.g., Cloud Build).** *Working knowledge of* ***GCP fundamentals****, including* ***IAM****, service accounts, and basic* ***VPC and network security concepts****.*## **Preferred skills and experiences*** *Exposure to* ***enterprise cloud platforms*** *beyond GCP (e.g.,* ***AWS or Azure****) or hybrid data environments.** *Familiarity with* ***reference architectures****,* ***data product concepts****, and domain-oriented data platforms.** *Basic knowledge of* ***SAP*** *systems (ECC, BW, or S/4) and enterprise source system integration.** *Exposure to* ***enterprise integration tools*** *such as* ***Informatica*** *or* ***WSO2*** *(hands-on or project-level).** *Awareness of* ***data security, compliance, and governance practices****, including access controls and data sensitivity.** *Experience participating in* ***knowledge transfer (KT)*** *activities and supporting operational or sustain teams.** *Strong communication skills, with the ability to collaborate effectively with* ***BI, Data Science, and platform teams****.** *Exposure to****data reliability concepts*** *(logging, monitoring, retries, idempotency),* ***schema evolution****, and early experience with* ***GenAI-assisted development tools*** *(e.g., Cursor, VS Code Cline) or* ***Vertex AI*** *use cases.*## **What we offer*** *1 dia de home office por semana;** *Horário flexível;** *“No dress code”;** *Gympass;** *Vale-transporte, ônibus ou estacionamento gratuito na empresa;** *Vale-refeição;** *Refeição no local;** *Benefícios como consignado ou empréstimo social, plano de saúde, plano odontológico, seguro de vida e plano de previdência privada compatível com o mercado;** *Programa de Apoio ao Funcionário, com atendimento 24 horas por dia por assistentes jurídicos, sociais, financeiros, sociais e psicólogos;** *Auxílio creche ou berçário na empresa;** *Serviços disponíveis no local: salão de beleza e estética, agência bancária interna, lavanderia, cafeteria, restaurante e sala de amamentação;** *Duas semanas de trabalho remoto de qualquer lugar;** *Após 5 anos na empresa, os funcionários elegíveis podem tirar quatro semanas de licença remunerada;** *Desconto em produtos por meio do Compra Certa.** *Desconto em seguros (animal de estimação, automóvel, residencial, bicicleta, viagem e outros)** *Licença maternidade/paternidade estendida*Years of experience2-44-8* Less than 2 years* 2 - 4 years* 4 - 8 years* 8+ yearsTop skillsAndroidCSSAmazon Web Services (AWS)AlgorithmsArchitectureAPIAgile MethodologiesAgileCData Privacy AgreementYou acknowledge you have reviewed our. 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