About the Role
The Data Engineer will design, implement, and manage data pipelines and infrastructure using Microsoft Azure technologies. This role requires strong technical expertise in cloud-based data solutions and collaboration with cross-functional teams to deliver reliable data platforms.
Responsibilities
- Design and deploy scalable data pipelines using Azure Data Factory and Azure Synapse
- Collaborate with analytics teams to ensure data accuracy and accessibility
- Optimize data storage and retrieval performance across cloud environments
- Implement data integration workflows from multiple source systems
- Support the development of ETL processes with monitoring and error handling
- Maintain documentation for data architecture and transformation logic
- Troubleshoot and resolve data pipeline issues in production environments
- Ensure data security and compliance with organizational standards
- Work with stakeholders to understand data requirements and use cases
- Contribute to continuous improvement of data engineering practices
- Participate in code reviews and system design discussions
- Integrate data from structured and unstructured sources
- Develop and manage metadata frameworks
- Support testing and validation of data solutions
- Monitor system performance and implement optimizations
- Assist in migration of on-premise data systems to Azure
- Apply version control to data infrastructure code
- Collaborate on data modeling efforts for reporting and analytics
- Use PowerShell or CLI tools for automation tasks
- Follow agile methodologies in project execution
- Stay current with Azure service updates and new features
- Ensure high availability and disaster recovery readiness
- Work with identity and access management for data resources
- Support data quality initiatives and validation rules
- Participate in incident response related to data systems
Nice to Have
- Certification in Microsoft Azure data technologies
- Experience with Databricks or Azure ML
- Knowledge of DevOps practices in data projects
- Exposure to big data frameworks like Spark
- Experience with Terraform or infrastructure as code
- Background in financial or healthcare data domains
- Familiarity with data mesh or data fabric concepts
- Knowledge of real-time data streaming platforms
- Experience with Power BI integration
- Understanding of data lineage tools
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote, with flexibility across Latin American time zones
Team
Collaborative team focused on data solutions for enterprise clients
Why This Role Matters
This position plays a key role in transforming raw data into actionable insights for clients. The engineer will help shape data strategies and ensure systems are reliable, secure, and scalable.
What You’ll Work With
Azure Data Factory, Azure Synapse, Azure Blob Storage, Azure SQL Database, Databricks, Git, PowerShell, REST APIs, and monitoring tools like Azure Monitor.
Not available
