Data Engineer

Calyptus; Belo Horizonte; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology company in Belo Horizonte, Brazil is seeking a skilled Data Engineer with over 3 years of experience in enterprise environments. The candidate will design and build data pipelines, develop connectors for various enterprise systems, and ensure data quality for AI models. Strong proficiency in Python, SQL, and experience with ETL tools are essential. Join us to work on optimizing data workflows, collaborating with data scientists, and establishing data governance for compliance.

Qualificações

• 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.

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 data transformation pipelines for AI models.
• Establish data governance for compliance.
• Optimize data workflows for performance.
• Collaborate with data scientists and AI engineers.

Conhecimentos

Data engineering

Python

SQL

ETL / ELT tools

APIs knowledge

Data privacy and security

Cloud platforms (AWS, Azure, GCP)

Containerization

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