1570 DATA ENGINEER (19316)

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.