PhD Research Fellow, Data Engineering, Pipelines, PySpark

Role Overview

• Plan and align the project with the Androidization strategy
• Collect 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 proactive monitoring and alerts
• Publish and validate the tables in the production environment
• Document the entire technical and functional structure of the platform
• Conduct trainings and formalize the technical handover

Requirements

• Degree: PhD
• Education: Computer Engineering, Computer Science, Statistics, or related fields
• English: Intermediate
• Strong knowledge of data engineering using Python
• Basic knowledge of cloud computing platforms
• Experience with code versioning using Git
• Knowledge of PySpark
• Ability to create technical and operational documentation
• Ability to conduct trainings and perform technical handover to technology and business teams

Tech Stack

• PySpark
• Python