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ID da Requisição: 70503

Sobre a Whirlpool Corporation

Whirlpool Corporation (NYSE: WHR) Ser a melhor empresa de eletrodomésticos, melhorando continuamente a vida em casa. Como a única grande fabricante de eletrodomésticos para cozinha e lavanderia dos EUA, a empresa está impulsionando inovações significativas para atender às crescentes necessidades dos consumidores, por meio do portfólio de marcas icônicas, incluindo Whirlpool , KitchenAid , JennAir, Maytag , Amana, Brastemp , Consul e InSinkErator . Em 2024, a empresa registrou aproximadamente US$17 bilhões em vendas anuais – quase 90% delas nas Américas – 44.000 colaboradores e 40 centros de pesquisa de tecnologia e manufatura. Informações adicionais sobre a empresa podem ser encontradas em WhirlpoolCorp.com .

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

Conecte-se conosco e saiba mais sobre a Whirlpool Corporation

Veja como é trabalhar na Whirlpool visitando o site Whirlpool Careers (http://www.whirlpoolcareers.com/) . Informações adicionais sobre a empresa podem ser encontradas no Facebook (http://www.facebook.com/WhirlpoolCorp/) , Twitter (http://twitter.com/whirlpoolcorp) , LinkedIn (http://www.linkedin.com/company/whirlpool-corporation/life/) , Instagram (http://www.instagram.com/whirlpoolcorp/) e YouTube (http://www.youtube.com/user/WhirlpoolCorporation) .

A Whirlpool Corporation está comprometida com oportunidades iguais de emprego e proíbe qualquer discriminação com base em raça ou etnia, religião, sexo, gravidez, expressão ou identidade de gênero, orientação sexual, idade, deficência física ou intelectual ou qualquer outra condição protegida por lei.