Bridgestone Americas and its subsidiaries manufacture, sell and service Bridgestone and Firestone and associate brand tires to meet the needs of their customers, maintaining wholesale and original equipment sales operations across a broad line of products, 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 for our customers and to society, not only in terms of our products, services and technology, but in all our corporate activities.

The Bridgestone Americas international footprint includes manufacturing and sales subsidiaries located in Argentina, Brazil, Chile, Colombia, Costa Rica, and Mexico, with additional offices throughout Latin America and the Caribbean that build the “Bridgestone Americas Tire Operations (BATO-LA)” division, conformed by 5 tire manufacturing and 3 retreading plants throughout the region, 6 commercial and administrative offices; more than 8,500 employees and 2,500 points of sale throughout Latin America, including company's stores and an extensive network of distributors .

Around the world, at Bridgestone, more than 140 thousand collaborators are focused on offering advanced solutions for a world in motion, contributing our experience and innovation to position ourselves as undisputed leaders in Mobility Solutions, guided by the Bridgestone Essence and by our passion to Serve to the Society with Superior Quality.

For more information about our positions visit:

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

• Responsável pela arquitetura, design e implementação 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.

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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.