Data Engineer

Calyptus; Contagem; Presencial; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A leading technology firm in Brazil seeks a Data Engineer with expertise in data engineering, cloud platforms, and a strong command of Python and SQL. You will design and build data pipelines to support AI processing, develop connectors for enterprise systems, and implement data quality frameworks. This role requires experience with data integration patterns and a Bachelor's degree in a relevant field. Join our global team to help optimize data workflows for scale and performance.

Qualificações

• 3+ years experience with data engineering in enterprise environments.
• Strong proficiency in Python and SQL for data processing.
• Experience with ETL / ELT tools.

Responsabilidades

• Design and build data pipelines for AI processing.
• Develop connectors for enterprise systems.
• Implement data quality frameworks for AI model inputs.
• Create secure data handling workflows.
• Build transformation pipelines for AI models.

Conhecimentos

Data engineering experience

Python proficiency

SQL proficiency

ETL / ELT tools experience

Data integration patterns

Knowledge of data standards (REST, GraphQL, SOAP)

Understanding of data privacy

Cloud platforms (AWS, Azure, GCP)

Containerization and orchestration tools

Formação académica

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Descrição da oferta de emprego

You're a perfect match if you have :

• 3+ years experience with data engineering in enterprise environments
• Strong proficiency in Python and SQL for data processing and transformation
• Experience with ETL / ELT tools and data integration patterns
• Knowledge of enterprise data standards and APIs (REST, GraphQL, SOAP)
• Understanding of data privacy, security, and access control best practices
• Experience with cloud platforms (AWS, Azure, GCP) and data infrastructure
• Familiarity with containerization and orchestration tools
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Your day-to-day activities :

• Design and build data pipelines that integrate diverse enterprise data sources for AI processing
• Develop connectors and adapters for enterprise systems (CRM, ERP, document management, databases)
• Implement data quality frameworks and validation systems for AI model inputs
• Create secure data handling workflows that support global development teams
• Build data transformation pipelines that prepare unstructured and structured data for AI models
• Establish data governance and lineage tracking for compliance and audit requirements
• Optimize data processing workflows for scale and performance
• Collaborate with data scientists and AI engineers to ensure data meets model requirements