Data Engineer

Calyptus; Manaus; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology company located in Brazil is seeking an experienced Data Engineer to design and build data pipelines for AI processing. The successful candidate will have 3+ years of experience in data engineering, strong proficiency in Python and SQL, and familiarity with cloud platforms such as AWS, Azure, or GCP. Responsibilities include creating secure data workflows, developing connectors for enterprise systems, and implementing data quality frameworks. A Bachelor's degree in a relevant field is required.

Qualificações

• 3+ years experience with data engineering in enterprise environments.
• Strong proficiency in Python and SQL for data processing and transformation.
• Knowledge of enterprise data standards and APIs (REST, GraphQL, SOAP).
• Experience with cloud platforms (AWS, Azure, GCP) and data infrastructure.

Responsabilidades

• 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.

Conhecimentos

Data engineering experience

Python

SQL

ETL / ELT tools

Data integration patterns

Data standards and APIs

Data privacy and security

Cloud platforms (AWS, Azure, GCP)

Containerization and orchestration

Formação académica

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

Descrição da oferta de emprego

Qualifications

• 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

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