Data Engineer
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Job Description
Engenheiro de Dados projetando arquiteturas, pipelines e plataformas analíticas escaláveis. Atuação remota na Compass UOL, empresa global que transforma organizações com IA e tecnologias avançadas.
Responsibilities:
- Design, implement, and evolve scalable, secure data architectures.
- Develop and maintain data ingestion, integration, processing, and delivery pipelines.
- Build and maintain Data Lake, Data Warehouse, and analytics environments.
- Ensure data quality, traceability, security, and governance.
- Integrate data from different corporate systems, applications, and sources.
- Support the definition of data architecture standards, best practices, and strategies.
- Optimize data storage, transformation, and consumption processes.
- Partner with business, analytics, BI, data science, and technology teams to enable data-driven solutions.
- Serve as a technical reference for data initiatives and provide technical support to multidisciplinary teams.
- Participate in the definition, implementation, and evolution of modern cloud data platforms.
Requirements:
- Bachelor’s degree in Information Technology, Data Science, Engineering, Mathematics, Statistics, Physics, Chemistry, or a related field.
- Experience in Data Engineering and data solution architecture.
- Knowledge of data modeling and systems integration.
- Experience building and maintaining ETL/ELT pipelines.
- Advanced SQL skills.
- Experience processing and transforming large volumes of data.
- Knowledge of data governance, quality, and security.
- Experience with Data Lake and Data Warehouse environments.
- Knowledge of cloud data platforms and services.
- Ability to collaborate effectively with technical teams and business functions.
- Databricks certifications or training.
- Experience with SAP Datasphere.
- Experience with Cognite.
- Experience with Dataiku.
- Knowledge of Python for data engineering and automation.
- Experience with modern data and analytics architectures.
- Experience in technical leadership or coordination of data teams.
- Knowledge of DataOps, Git, and agile methodologies.
- Candidates must answer whether they hold a completed degree in an IT-related field.
- A résumé is required to apply.
Benefits:
- Open to candidates with disabilities
- Remote work
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