Requisitos: • A degree in Engineering, Computer Science or related areas; • Experience in the automotive industry is a strong differential; • Programming skills in Python, PySpark, SQL and DAX; • Experience with large real-world datasets; • ETL knowledge with Databricks skills; • Experience in coding versioning management tools (e.g., Bitbucket, GitHub, Azure DevOps); • Familiarity with analytics libraries such as Pandas, Numpy, Scikitlearn, Spark and others; • Experience in agile environments; • Competent computer skills in Microsoft Office and Power BI; • Strong communication and presentation skills in Portuguese and English, both spoken and written; • A commercial vehicle driver’s license is preferred but not a prerequisite. Atividades: • Data mining, which refers to the application of statistics in the form of exploratory data analysis to reveal patterns and trends in data from existing data sources; • Identifying and integrating new datasets that can be leveraged through our product capabilities, and working closely with the engineering team in the development of data products; • Transforming data into a useful format for analysis, managing the source, structure, quality, storage, and accessibility of the data so that it can be queried and analyzed by other analysts and engineers; • Maintaining databases in support of high volume, complex data transactions for specific services or groups of services; • Analyzing and presenting data in a summarized and visually appealing way; • Communicating with project managers, SW developers, calibration engineers, test engineers, and simulation engineers; • Participating in global Communities of Practices; • Managing tasks following agile principles.

Número de vagas: 1

Tipo de contrato e Jornada: Efetivo – CLT - Período Integral

Área Profissional: Especialista em Engenharia - Engenharia Mecânica, Mecatrônica