Senior Data Engineer – Microsoft Fabric

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

📋 Description

• Design and create robust, scalable, and easily monitorable data pipelines.

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

• Engage with contemporary data architectures, including Data Lakes, Lakehouses, Data Warehouses, and Analytics platforms.

• Craft solutions utilizing Microsoft Fabric and/or AWS Databricks.

• Employ Data Engineering principles irrespective of the technology or platform used.

• Operate within Microsoft Azure and AWS environments.

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

• Guarantee the reliability, observability, performance, and maintainability of solutions.

• Collaborate with BI, Data Science, Software Engineering, and business professionals.

• Take part in and lead technical and alignment meetings with clients and stakeholders.

• Spot opportunities for automation and the integration of Artificial Intelligence.

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

• Assume responsibility for the planning, execution, and delivery of data products.

• Thrive in a collaborative, dynamic, and delivery-focused environment aimed at high-impact data solutions.

⛳️ Requirements

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

• Senior-level professional experience in Data Engineering.

• Comprehensive understanding of data architecture, data modeling and storage, Batch and Streaming processing, data integration, and transformation, including Data Lakes, Lakehouses, and Data Warehouses.

• Knowledgeable in data quality, governance, security, and lineage.

• Familiarity with pipeline orchestration and monitoring.

• Proficient in development, testing, version control, and CI/CD practices.

• Practical experience with Microsoft Fabric and/or AWS Databricks.

• Capability to operate across various platforms, grasping Data Engineering fundamentals regardless of the technology.

• Demonstrated experience in Microsoft Azure and AWS environments.

• Experience utilizing Artificial Intelligence in professional contexts.

• Ability to showcase tangible productivity improvements achieved through AI.

• Proficient in technical English for interpreting documentation, articles, and industry resources.

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

• Availability to engage in virtual meetings with cameras on.

• Knowledge of Apache Spark, SQL, and Python.

• Experience with AWS data services like Amazon S3, AWS Glue, Athena, Amazon EMR, Step Functions, and Lambda.

• Familiarity with orchestration, messaging, observability, and continuous integration tools.

• Experience in DataOps, DevOps, and Infrastructure as Code (IaC) practices.

• Knowledge of Generative Artificial Intelligence and AI-assisted development tools.

• Certifications in Microsoft, Databricks, Azure, AWS, or Data Engineering are a plus.

• Previous experience at consulting firms or on varied client and industry projects is advantageous.

• Clear and concise communication skills, capable of leading meetings, presentations, and technical discussions.

• Ability to mediate conflicts and foster consensus.

• Strong organizational, time management, and prioritization abilities.

• Proactive, delivery-oriented, autonomous, and professionally mature.

🏝️ Benefits

• Meal allowance or meal voucher.

• Discounts on courses, universities, and language institutions.

• Access to Stefanini Academy — a platform providing free, up-to-date online courses with certificates.

• Mentoring opportunities.

• Discount club for medical consultations and examinations.

• Health insurance coverage.

• Dental insurance coverage.

• Benefits and discount club featuring deals at prominent establishments.

• Travel club membership.

• Pet care benefits.