Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create and implement robust, scalable, and monitorable data pipelines.

• Develop solutions for data ingestion, transformation, integration, and delivery.

• Engage with modern data architectures, such as data lakes, lakehouses, and analytics platforms.

• Utilize Microsoft Fabric and AWS Databricks for solution development.

• Leverage Data Engineering expertise across various technologies.

• Operate within Azure and AWS cloud environments.

• Influence decisions regarding data architecture, modeling, processing, quality, security, and governance.

• Ensure the reliability, observability, performance, and maintainability of the solutions created.

• Collaborate with business intelligence, data science, software engineering, and business teams.

• Lead and participate in technical and alignment meetings with clients and stakeholders.

• Spot opportunities to automate processes and utilize artificial intelligence to enhance productivity and quality of delivery.

• Document solutions, technical decisions, processes, and best practices thoroughly.

• Take charge of the planning, execution, and delivery of data products.

⛳️ Requirements

• A Bachelor’s degree in Information Technology, Computer Engineering, Computer Science, Information Systems, or a related discipline.

• Extensive professional experience at a senior level in Data Engineering.

• Strong foundational 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; as well as pipeline orchestration and monitoring; along with development, testing, version control, and CI/CD practices.

• Practical experience with Microsoft Fabric or AWS and Databricks.

• Capability to work across various platforms, grasping Data Engineering principles irrespective of the technology.

• Demonstrated experience in Microsoft Azure and AWS cloud environments.

• Familiarity with using artificial intelligence in professional tasks.

• Proven ability to showcase tangible productivity improvements achieved through AI, such as task automation, expedited development, documentation assistance, problem-solving, or enhanced delivery quality.

• Proficiency in technical English for understanding documentation, articles, and other field-related content.

• Willingness to work full-time during standard business hours.

• Readiness to engage in virtual meetings with the camera activated.

🏝️ Benefits

• Meal or food allowance.

• Discounts on courses, universities, and language institutions.

• Access to Stefanini Academy — a platform offering free, current online courses with certificates.

• Mentoring opportunities.

• Benefits club providing discounts on medical consultations and examinations.

• Health insurance coverage.

• Dental insurance options.

• Benefits and discounts at leading establishments.

• Travel club membership.

• Pet care benefits.