Doctoral Fellow – Data Engineering, Pipelines, PySpark

Job not on LinkedIn

🕒 February 21

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 42%

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Instituto Euvaldo Lodi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1969

🤝 B2B

📚 Education

💼 Consulting

B2B • Education • Consulting

IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.

📋 Description

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

🎯 Requirements

• Degree: PhD • Education: Degree in Computer Engineering, Computer Science, Statistics, or related fields • English: Intermediate • Strong knowledge of data engineering using Python • Basic knowledge of cloud computing platforms, especially for data integration and Data Lake storage • Experience with code versioning using Git • Ability to design scalable, automated architectures for data ingestion and transformation • Ability to automate observability mechanisms and alerts • Ability to create technical and operational documentation • Experience with PySpark

🏖️ Benefits

• Remote work

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