Senior Data Engineer

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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

• Build and enhance modern data platforms, scalable pipelines, and artificial intelligence solutions • Design, develop, and maintain batch and streaming data pipelines • Build and evolve data architectures in cloud environments • Work with large volumes of data, ensuring scalability, performance, and quality • Develop data ingestion, transformation, integration, and delivery processes • Support Data Science, Machine Learning, and Artificial Intelligence projects • Participate in defining architecture, governance, security, and observability standards • Contribute to the modernization and migration of data platforms • Collaborate with Engineering, Product, Data Science, and business teams • Mentor junior professionals and contribute to the team’s technical growth • Investigate performance, reliability, and quality issues in data environments

🎯 Requirements

• Solid experience in Data Engineering • Proficiency in Python and SQL • Experience building scalable data pipelines and architectures • Knowledge of distributed processing, especially Apache Spark • Experience with cloud environments such as AWS, Google Cloud, or Azure • Knowledge of relational and non-relational databases • Experience with Data Lakes, Data Warehouses, or Lakehouses • Experience with orchestration tools such as Airflow, Dagster, or similar technologies • Knowledge of CI/CD practices, version control, and infrastructure as code • Familiarity with data monitoring, observability, quality, and governance • Preferred: experience with Databricks, dbt, Kafka, or similar technologies • Preferred: experience working on Machine Learning, GenAI, or AI agent-based systems projects • Preferred: experience with data-driven solution architecture and AI products • Preferred: knowledge of MLOps, LLMOps, or AI application observability • Preferred: certifications in cloud technologies, Databricks, or Data Engineering • Preferred: participation in open-source projects, a technical portfolio, or personal technology initiatives • Preferred: advanced English proficiency

🏖️ Benefits

• Meal allowance or food allowance • Discounts on courses, universities, and language schools • Stefanini Academy — a platform offering free, up-to-date online courses with certificates • Mentoring • Benefits club offering discounts on medical consultations and examinations • Health insurance • Dental insurance • Benefits and discounts at leading establishments • Travel club • Pet care benefits