Graduate Fellow – Data Engineering, Observability, Golden Signals, Metrics

Job not on LinkedIn

🕒 July 7

🇧🇷 Brazil – Remote

💵 R$7k / month

⏰ Full Time

⚪️ Entry-level

🚰 Data Engineer

👻 Ghost score 23%

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

• Develop and test automation for data aggregation and consolidation • Participate in technical decisions together with the tech lead and the team.

🎯 Requirements

• Education: Completed undergraduate degree • Relevant fields of study: Data Engineering / Software Engineering • Practical knowledge of observability concepts • Understanding of SRE fundamentals (Site Reliability Engineering) • Reliability-oriented monitoring • Basic experience with monitoring and observability tools (e.g., Grafana, Prometheus, CloudWatch, Datadog, or similar) • Knowledge of log analysis and troubleshooting for distributed applications • Familiarity with distributed systems and microservices architecture • Experience consuming and analyzing REST APIs • Knowledge of cloud environments (preferably AWS) • Ability to define metrics and operational indicators • Basic programming logic (Python or C#) to support analysis and automation • Data handling in JSON format

🏖️ Benefits

• Scholarship stipend: BRL 7,000.00

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