Doctoral Fellow, Data Engineering, Pipeline, PySpark

Role Overview

• Plan and align the project with the Androidization strategy
• Gather and validate functional and technical requirements
• Design the solution architecture and data model
• Automate the integration and processing of operational data
• Model and automate refined tables with business rules
• Implement monitoring and proactive alerts
• Publish and validate the tables in the production environment
• Document the full technical and functional architecture of the platform
• Conduct training sessions and formalize the technical handover

Requirements

• Education: degree in Computer Engineering, Computer Science, Statistics, or related fields
• Degree: PhD
• Solid knowledge of data engineering using Python
• Basic knowledge of cloud computing platforms
• Experience with code versioning using Git
• Knowledge of PySpark
• English: Intermediate

Tech Stack

• PySpark
• Python

Benefits

• Stipend: BRL 9,000.00
• Remote work