About the Role
Design and implement data solutions using Azure technologies to support business intelligence and analytics needs.
Responsibilities
- Develop and maintain data pipelines in Azure environments
- Collaborate with stakeholders to understand data requirements
- Optimize data storage and retrieval processes
- Ensure data accuracy and integrity across systems
- Implement ETL workflows using Azure Data Factory
- Support integration between cloud and on-premises systems
- Monitor performance of data infrastructure
- Troubleshoot and resolve data flow issues
- Document data architecture and workflows
- Work with analytics teams to deliver usable datasets
- Apply data governance standards
- Maintain security and compliance in data handling
- Automate routine data operations
- Participate in agile project cycles
- Contribute to system scalability planning
- Use version control for data pipeline code
- Deploy infrastructure as code using templates
- Integrate data from multiple sources
- Support real-time data processing needs
- Assist in testing data solutions
- Improve data quality through validation rules
- Collaborate on data model design
- Stay current with Azure platform updates
- Provide technical input for project estimates
- Support production data operations
Nice to Have
- Experience with Azure Synapse Analytics
- Knowledge of Databricks on Azure
- Familiarity with Power BI integration
- Background in financial or healthcare sectors
- Certification in Azure data technologies
- Experience with large-scale data migration
- Understanding of regulatory compliance standards
- Prior work with cross-border teams
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote
Team
Collaborative team supporting digital transformation initiatives
Technology Stack
- Azure Data Factory
- Azure Databricks
- Azure SQL Database
- Azure Blob Storage
- Azure DevOps
- Power BI
- Git
- ARM templates
Work Expectations
- Flexible working hours within Latin American time zones
- Regular team meetings in English
- Asynchronous communication practices
- Weekly progress updates
- Code reviews and technical collaboration
Not available