Data Engineer

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

Resumo da oferta

A data solutions company located in Espírito Santo, Brazil, is looking for a Data Engineer to join their team. The ideal candidate will possess 3+ years of data engineering experience and strong skills in Python and SQL. You will be involved in designing data pipelines, implementing data quality frameworks, and ensuring data integrity for AI models. A Bachelor's degree in a related field is required. This position offers the opportunity to work with advanced cloud technologies and contribute to global data initiatives.

Qualificações

• 3+ years experience with data engineering in enterprise environments.
• Strong proficiency in Python and SQL for data processing and transformation.
• 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.
• Implement data quality frameworks and validation systems for AI model inputs.
• Create secure data handling workflows that support global development teams.
• Optimize data processing workflows for scale and performance.

Conhecimentos

Data engineering in enterprise environments

Python

SQL

ETL / ELT tools

Data integration patterns

Data privacy best practices

Cloud platforms (AWS, Azure, GCP)

Containerization and orchestration tools

Formação académica

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Data Science

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