Data Engineer

• Implement any type of extraction ( Manuals, mails, SFTP, and Apis)
• Build solutions for application integrations, task automation and any relevant data automation using proven design patterns.
• Design and build data processing pipelines for large volumes of data that are performant and scalable.
• Build and maintain the infrastructure required for extraction, loading, transformation and storage of data from multiple data sources using custom scripted.
• Collaborate with the team to develop and maintain a robust and scalable data infrastructure to support our data needs.
• Implement and enforce data governance policies and best practices to ensure data quality, security, and compliance.
• Manage and optimize data warehousing solutions for efficient storage and retrieval of data.
• Develop and maintain data lake solutions for storing and managing diverse data types.
• Use big data technologies and frameworks to process and analyze large datasets efficiently.
• Work with distributed data systems and technologies to handle high volumes of data.
• Integrate data from multiple sources.

Data Engineer

Ingeniero de Datos

Senior Data Engineer, Databricks, GCP – Marketing Analytics

Mid Data Engineer

Mid-Level Data Engineer