Requirements: You have a degree in Engineering, Computer Science or related area; Programming skills in Python, Spark, SQL and DAX; Experience with large real-world datasets; ETL knowledge with Databricks skills, including Airflow; 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 environment; Competent computer skills in Microsoft Office and Power BI; Strong communication and presentation skills in Portuguese and English, both spoken and written. Activities: 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; Identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products; Transform 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; Maintain pipelines and its affected schemas in support of high volume, complex data transactions for specific services or groups of services; Analyze and present data in a summarized and visually appealing way has become part of almost every business analyst and data scientist role; Keep strong communication with project managers, SW developers, calibration engineers, test engineers, and simulation engineers; Participate in global Communities of Practices; Manage tasks following agile principles.

Número de vagas: 1

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

Área Profissional: Analista em Engenharia - Engenharia Computação, Sistemas