2351 ENTRY-LEVEL DATA ENGINEER (37017)

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.