Cientista De Dados jobs in Brazil

Visão Geral da Empresa / Company Overview

Bridgestone Americas and its subsidiaries manufacture, sell, and service Bridgestone, Firestone, and associated brand tires to meet customer needs. The company maintains wholesale and original equipment sales operations across a broad product line, including passenger, light truck, commercial truck and bus, agricultural, motorcycle, kart, and off-the-road tires.

We are committed to Bridgestone Group’s mission, “Serving Society with Superior Quality.” Our goal is to offer the best to our customers and society, not only through our products, services, and technology but also in all our corporate activities.

The international footprint of Bridgestone Americas includes manufacturing and sales subsidiaries in Argentina, Brazil, Chile, Colombia, Costa Rica, and Mexico. Additionally, there are offices throughout Latin America and the Caribbean that comprise the “Bridgestone Americas Tire Operations (BATO-LA)” division, which includes 5 tire manufacturing and 3 retreading plants, 6 commercial and administrative offices, over 8,500 employees, and 2,500 points of sale across Latin America, including company stores and a vast distributor network.

Globally, over 140,000 collaborators at Bridgestone focus on providing advanced solutions for a world in motion, contributing experience and innovation to position ourselves as leaders in Mobility Solutions, guided by the Bridgestone Essence and our passion to Serve Society with Superior Quality.

For more information about our positions, visit:

https://www.bridgestoneamericas.com/en/careers

• Responsável pela arquitetura, design e implementação de pipelines de dados escaláveis para apoiar análises e relatórios;
• Gerenciar e manter a infraestrutura de dados, incluindo armazenamento de dados, processos ETL e integração de dados;
• Garantir a qualidade, precisão e consistência dos dados implementando processos de validação e limpeza de dados;
• Desenvolver e manter dicionários de dados, metadados e documentação;
• Trabalhar em estreita colaboração com analistas de dados e especialistas em análise de negócios para garantir a disponibilidade e usabilidade dos dados.

#LI-Hybrid

#LI-BB1

O que esta posição requer:

• Experiência anterior em Extração, Transformação e Carga de Dados;
• Proficiência em SQL, Modelagem de Dados, Power Query e DAX;
• Experiência comprovada com soluções de repositório de dados como: SQL Server, Oracle, Redshift, Big Query, Snowflake;
• Inglês avançado.

Desejáveis:

• Experiência com ferramentas de ETL como: Alteryx, Data Factory, AWS Glue, Datacenter, etc.;
• Experiência com Python e PySpark, Lakehouse, experiência com Databricks ou Microsoft Fabric.