Data Engineer

🕒 August 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

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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Stefanini Brasil

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Stefanini Brasil is a leading provider of digital transformation solutions, offering a range of services including artificial intelligence, cybersecurity, cloud enablement, and consulting. With over 35 years of experience, the company focuses on integrating innovative technologies to help organizations enhance their operations and customer experiences across various industries. Their expertise extends to sectors like healthcare, retail, and industrial goods, enabling businesses to optimize processes and drive value through technology.

📋 Description

• Ensure the stability, maintenance, and evolution of data solutions that support AI projects • Analyze and troubleshoot failures in data pipelines • Optimize data ingestion and transformation processes • Ensure the quality and integrity of information used in AI models • Work in high-complexity environments with distributed architectures and data governance • Ensure compliance with regulations such as LGPD (Brazilian General Data Protection Law)

🎯 Requirements

• Experience in Data Engineering • Experience supporting, maintaining, and evolving data pipelines • Proficiency in Python and SQL • Experience with orchestration tools such as Apache Airflow and Azure Data Factory • Experience with distributed processing technologies such as Apache Spark and Databricks • Knowledge of relational and NoSQL databases, especially MongoDB • Ability to operate in high-complexity environments • Knowledge of data governance and LGPD • Ability to work with multidisciplinary teams • Strong analytical skills, resilience, and critical thinking • Nice to have: experience with AI projects • Nice to have: experience integrating data pipelines with AI services • Nice to have: knowledge of MLOps • Nice to have: experience with code versioning, observability, infrastructure as code, and continuous integration • Nice to have: involvement in defining architectural standards • Nice to have: collaboration with data scientists and machine learning engineers • Nice to have: experience with predictive, prescriptive models and generative AI

🏖️ Benefits

• Meal allowance or food voucher • Discounts on courses, universities, and language schools • Stefanini Academy — platform with free, up-to-date online courses with certificates • Mentoring • Benefits club for medical consultations and exams • Health insurance • Dental insurance • Discount and benefits club at top retailers and service providers • Travel club • Pet care partnership