Senior Data Engineer

Job not on LinkedIn

🕒 August 14

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.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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Spassu

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1992

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Spassu is a Brazilian company specializing in end-to-end digital transformation solutions. With over 30 years of experience, Spassu focuses on maximizing value delivery by simplifying processes and improving decision-making throughout its partners' journeys. The company employs experts in user experience, design thinking, and agile methodologies to co-create innovative solutions that meet the needs of diverse industries. By leveraging a multidisciplinary approach and applying best practices like ITIL and LEAN, Spassu facilitates continuous improvement and ensures the effective implementation of IT services across various sectors.

📋 Description

• Responsible for the full lifecycle of AI systems, working on development, maintenance, and support • Build applications and infrastructure and integrate AI into existing systems • Perform fixes, enhancements, adaptations, and data migrations • Document processes, extract insights from data, and train teams • Ingest, process, and automate large-scale data flows, including pipelines and ETL • Develop, monitor, and optimize databases and data warehouses • Implement access policies and protection for sensitive data • Deploy CI/CD pipelines (DevOps) • Collaborate with multidisciplinary teams

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related IT field • 5 years of experience in information technology working on development, systems maintenance, data analysis, database administration, or related areas • Experience developing projects applying AI, including Machine Learning, Deep Learning, and/or Generative AI • Proven hands-on experience in data engineering projects, preferably in a corporate or industrial environment • Experience with Python, Java, Scala, and scripting tools for task automation • Knowledge of Big Data, SQL/NoSQL databases, AWS/Azure/GCP cloud platforms, and orchestration • Knowledge of Machine Learning models, Generative AI, Python libraries, and API integration • Experience processing large volumes of data • Familiarity with agile practices such as Scrum/Kanban

🏖️ Benefits

• Health Insurance • Dental Insurance • Life Insurance • Meal or Food Allowance • Transportation Allowance • WellHub Gympass