PhD Research Fellow, Data Engineering, Pipelines, PySpark

Job not on LinkedIn

🕒 March 5

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 41%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • 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

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