Senior Data Engineer

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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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, Data Warehouses, and Analytics platforms • Develop solutions using Microsoft Fabric and/or AWS Databricks • Apply Data Engineering concepts regardless of the technology or platform used • Work in Microsoft Azure and AWS environments • Contribute to decisions regarding data architecture, modeling, processing, quality, security, and governance • Ensure the reliability, observability, performance, and maintainability of 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 for automation and the application of Artificial Intelligence • 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 knowledge of data architecture • Knowledge of data modeling and storage • Knowledge of batch and streaming processing • Knowledge of data integration and transformation • Knowledge of Data Lakes, Lakehouses, and Data Warehouses • Knowledge of data quality, governance, security, and lineage • Knowledge of pipeline orchestration and monitoring • Knowledge of development, testing, version control, and CI/CD • Hands-on experience with Microsoft Fabric and/or AWS Databricks • Ability to work across different platforms, understanding the fundamentals of Data Engineering regardless of the technology • Proven experience in Microsoft Azure and AWS environments • Experience using Artificial Intelligence in professional activities • Ability to demonstrate concrete productivity gains achieved through AI • Technical English proficiency for reading documentation, articles, and industry materials • Availability to work full-time during business hours • Availability to participate in virtual meetings with cameras on • Knowledge of Apache Spark, SQL, and Python is desirable • Knowledge of AWS data services, such as Amazon S3, AWS Glue, Athena, Amazon EMR, Step Functions, and Lambda, is desirable • Experience with DataOps, DevOps, and Infrastructure as Code (IaC) is desirable • Microsoft, Databricks, Azure, AWS, or Data Engineering certifications are desirable • Experience at consulting firms or on projects for different clients and industry segments is desirable

🏖️ Benefits

• Food allowance or meal 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 consultations and medical exams • Health insurance • Dental insurance • Benefits and discounts at leading establishments • Travel club • Pet benefits program

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