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ROIT

Senior Data Engineer

ROIT

. Implement monitoring systems and routines for data, applications, queries, and other components .

Posted 10/9/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Proficient in implementing monitoring systems, enhancing data models, and building data pipelines to meet engineering and business requirements. Experienced in data migration, processing, and storage routines, with a strong understanding of cloud platforms and data architecture.

Highest-signal resume keywords
Python ProgrammingGCP ExperienceETL ImplementationData Lake DevelopmentSQL and NoSQL Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline MonitoringData MigrationData ProcessingData ArchitectureContinuous IntegrationCloud DeploymentEvent-Driven ArchitectureDistributed Data ProcessingStreaming ProjectsAirflow Experience
Tools & Technologies
RDSExternal APIsData LakesData WarehousesData Marts

Tech Stack

Tools & technologies
AirflowCloudETLGoogle Cloud PlatformNoSQLPythonSparkSQL

About the role

Key responsibilities & impact
  • Implement monitoring systems and routines for data, applications, queries, and other components
  • Enhance data models and architecture, and build data pipelines to meet new engineering and business requirements
  • Implement data migration, processing, and storage routines (ETL)
  • Develop integrations between different data sources (RDS, external APIs, etc.) to centralize data in a data lake
  • Implement and conduct load tests
  • Monitor data pipelines in production

Requirements

What you’ll need
  • Experience with Python
  • Experience with GCP
  • Experience with continuous integration and cloud deployment
  • Experience with data lakes, data warehouses, and data marts
  • Knowledge of SQL and NoSQL databases
  • Knowledge of cloud platform services and resources
  • Knowledge of event-driven architecture
  • Experience with streaming projects is a plus
  • Experience with Airflow is a plus
  • Experience with distributed data processing (Spark or similar technologies) is a plus