Data Engineer

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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.Why this score:

• Just posted.
• Jobs at this company usually fill in 26 days.
• No salary listed.

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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

• Design and develop robust, scalable, and monitorable data pipelines • Implement data ingestion, transformation, integration, and delivery solutions • Work with modern data architectures, including data lakes, lakehouses, and analytics platforms • Develop solutions using Microsoft Fabric and AWS Databricks • Apply Data Engineering expertise independently of the technology used • Work with Azure and AWS cloud environments • Contribute to decisions related to data architecture, modeling, processing, quality, security, and governance • Ensure the reliability, observability, performance, and maintainability of developed solutions • Collaborate with BI, data science, software engineering, and business professionals • Participate in and lead technical and alignment meetings with clients and stakeholders • Identify opportunities to automate processes and use artificial intelligence to increase productivity and delivery quality • Document solutions, technical decisions, processes, and best practices • Take ownership of the planning, execution, and delivery of data products

🎯 Requirements

• Bachelor's degree in Information Technology, Computer Engineering, Computer Science, Information Systems, or a related field • Senior-level professional experience in Data Engineering • Strong conceptual knowledge of data architecture; data modeling and storage; batch and stream processing; data integration and transformation; data lakes, lakehouses, and warehouses; data quality, governance, security, and lineage; pipeline orchestration and monitoring; and development, testing, version control, and CI/CD practices • Hands-on experience with Microsoft Fabric or AWS and Databricks • Ability to work across different platforms, understanding Data Engineering fundamentals regardless of the technology • Proven experience in Microsoft Azure and AWS cloud environments • Experience using artificial intelligence in professional activities • Ability to demonstrate concrete productivity gains achieved through the use of AI, such as task automation, accelerated development, documentation support, problem analysis, or improved delivery quality • Technical English for reading documentation, articles, and other field-related materials • Availability to work full-time during business hours • Availability to participate in virtual meetings with the camera on

🏖️ Benefits

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

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