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Stefanini Brasil

Senior Data Engineer – Microsoft Fabric

Stefanini Brasil

. Design and develop robust, scalable, and monitorable data pipelines .

Posted 10/2/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing scalable data pipelines, utilizing Microsoft Fabric and AWS Databricks, while ensuring data quality, governance, and security. Proficient in collaborating with cross-functional teams to deliver high-impact data solutions in cloud environments like Microsoft Azure and AWS.

Highest-signal resume keywords
Data EngineeringMicrosoft FabricAWS DatabricksData ArchitectureArtificial Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentData IngestionData TransformationData IntegrationBatch ProcessingStreaming ProcessingSQLPythonApache SparkDataOps
Soft Skills
Clear CommunicationConflict MediationOrganizational SkillsTime ManagementProactivity
Tools & Technologies
Microsoft AzureAWSAmazon S3AWS GlueAthenaAmazon EMRStep FunctionsLambdaCI/CDVersion Control
Certifications & Qualifications
Microsoft CertificationDatabricks CertificationAzure CertificationAWS CertificationData Engineering Certification
Industry Keywords
Data LakesLakehousesData WarehousesData GovernanceData QualityPipeline OrchestrationObservabilityInfrastructure as CodeGenerative Artificial IntelligenceAI-assisted Development

Tech Stack

Tools & technologies
ApacheAWSAzurePythonSparkSQL

About the role

Key responsibilities & impact
  • 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 principles regardless of the technology or platform
  • 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
  • Work in a collaborative, dynamic, and delivery-oriented environment focused on high-impact data solutions

Requirements

What you’ll need
  • 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, data modeling and storage, Batch and Streaming processing, data integration and transformation, 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 Data Engineering fundamentals 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
  • Experience with AWS data services such as Amazon S3, AWS Glue, Athena, Amazon EMR, Step Functions, and Lambda
  • Knowledge of orchestration, messaging, observability, and continuous integration tools
  • Experience with DataOps, DevOps, and Infrastructure as Code (IaC) practices
  • Knowledge of Generative Artificial Intelligence and AI-assisted development tools
  • Microsoft, Databricks, Azure, AWS, or Data Engineering certifications are desirable
  • Previous experience at consulting firms or on projects for different clients and industries is desirable
  • Clear and objective communication skills, with the ability to lead meetings, presentations, and technical discussions
  • Ability to mediate conflicts and build consensus
  • Strong organizational, time management, and prioritization skills
  • Proactivity, delivery orientation, autonomy, and professional maturity

Benefits

Comp & perks
  • Meal allowance or meal voucher
  • Discounts on courses, universities, and language institutions
  • Stefanini Academy — a platform offering free, up-to-date online courses with certificates
  • Mentoring
  • Discount club for medical consultations and examinations
  • Health insurance
  • Dental insurance
  • Benefits and discount club offering deals at leading establishments
  • Travel club
  • Pet care benefits