Key skills
AWSAzureCloudETLSQLELTAnalyticsBIBusiness IntelligencePower BIGoogle CloudAgileRemote Work
About this role
Role Overview
- Design, build, and maintain data pipelines for processing large volumes of structured and unstructured data.
- Design and implement Data Lakes and Data Warehouses to support analytics and reporting.
- Develop and maintain scalable database architectures optimized for performance and reliability.
- Integrate data from multiple sources using ETL/ELT processes.
- Work closely with analytics and business teams to ensure high-quality data availability.
- Optimize data models and storage solutions to improve query performance.
- Implement data governance, security, and quality standards.
- Support business intelligence platforms such as Power BI for reporting and dashboards.
- Collaborate with cross-functional teams in a cloud-based environment.
Requirements
- Advanced English (B2+ / C1) for working in international environments
- 3+ years of experience as a Data Engineer or in a similar data-focused role
- Strong experience designing Data Lakes and Data Warehouses
- Experience designing and modeling databases
- Experience building ETL / ELT pipelines
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud
- Strong knowledge of SQL and data modeling
- Experience integrating REST APIs or external data sources
- Familiarity with Power BI or other BI tools
- Experience working in agile development environments
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- SQL
Benefits
- 100% remote work from any LATAM country
- Opportunity to work on international projects with multicultural teams
- Culture that encourages professional development and continuous learning
- Spaces for innovation, well-being, and career growth