Reconhecemos e valorizamos a pluralidade dos nossos times. Por isso, criamos condições para a equidade de oportunidades através de políticas, práticas e atitudes que promovam uma cultura de respeito e o desenvolvimento de talentos.

　　Buscamos cada vez mais diversidade de gênero, etnias, religiões, LGBTQIA+, deficiências, culturas e histórias para impulsionar a inovação em nosso DNA.

　　E estamos sempre à procura de mentes inovadoras que possam contribuir com a nossa missão. Que tal fazer parte do nosso time?

　　Local Principal: Brasil (BR) - São Paulo - Campinas

　　Função: Data & Analytics (CA)

　　Título: Senior Data Engineer - 104597

　　The Global Parts Pricing Analytics team is a fast paced, highly innovative analytics team within Aftermarket & Customer Support. The team currently has an opening for a Data Engineer position who will share responsibility for:

　　Your Responsibilities:

　　Developing, managing and maintaining data sets and data pipelines in support of a production analytics application;

　　Managing the AWS environment and ETL processes to support global expansion of regional analytics products;

　　Validating and monitoring critical data sets within the application pipeline;

　　Managing integrations with internal applications and user interfaces; 

　　Working directly with business stakeholders to support ad-hoc data requests in support of expanding analytics insights. 

　　What Skills You Need

　　Coding proficiency in Python/PySpark demonstrating strong technical acumen.  Additional coding languages (such as SQL);

　　Knowledge of the cloud based Data Lake principles and practices, Databricks and the ability to design, build and maintain robust data pipelines and data sets. Ability to evaluate data sets and analyzes data for trends, outliers, and overall quality required for advanced analytics;

　　Experience working with software version control platforms such as Github and working in a team environment with branches, pull request, merges etc. 

　　What Makes You Stand Out

　　Knowledge of statistical analysis and/or experience with Machine Learning or supporting Machine Learning model development;

　　Experience with AWS Services (S3, Lambda, RDS);

　　Experience with development environment setup, both local and cloud, including local python IDE, virtual environments, .ssh setup, GitHub setup ,etc. Familiarity in working with PyCharm as an IDE a plus;

　　Strong documentation skills and adherence to coding best practices;

　　Experience with REST API’s to access, use and modify data;

　　Experience with Microsoft Office Power Tools (PowerApps and PowerAutomate);

　　Familiarity with BI tools such as Tableau and PowerBI. 

　　O Que Você Receberá

　　Na John Deere, você conseguirá desenvolver uma carreira que levará você aonde quer chegar. Além de produzirmos máquinas conectadas e inteligentes, com a mais alta qualidade, criamos soluções e serviços que garantam que nossos clientes possam gerir seus negócios de forma sustentável e produtiva. Com conexões tecnológicas, sociais e humanas, você terá liberdade de explorar novos projetos e pensar de forma inovadora.