About the Role
The Data Engineer will design and manage cloud data infrastructure on Azure, enabling efficient data processing and analytics through robust ETL pipelines and scalable data models.
Responsibilities
- Design and maintain data pipelines using Azure technologies
- Develop scalable data models for analytics and reporting
- Implement ETL processes to ensure data accuracy and consistency
- Optimize data storage and query performance in cloud environments
- Collaborate with data analysts and scientists to understand requirements
- Ensure data quality and integrity across systems
- Support integration of data from multiple sources
- Monitor data workflows and troubleshoot issues
- Document data architecture and processes
- Follow data governance and security standards
- Automate data processing tasks where possible
- Work with version control systems for code management
- Participate in code reviews and technical discussions
- Stay current with advancements in data engineering tools
- Contribute to improving data engineering practices
- Assist in onboarding new team members
- Support deployment of data solutions to production
- Collaborate with cross-functional teams on data projects
- Ensure compliance with data privacy regulations
- Participate in planning and estimating project timelines
- Respond to data-related incidents and requests
- Evaluate new data tools and technologies
- Maintain metadata and data lineage documentation
- Support testing and validation of data systems
- Contribute to disaster recovery and backup strategies
Nice to Have
- Experience with Azure Data Factory
- Knowledge of Databricks or Synapse Analytics
- Familiarity with containerization technologies
- Experience with infrastructure as code
- Certification in Azure data technologies
- Background in financial or regulated industries
- Exposure to real-time data streaming platforms
- Understanding of DevOps practices
- Experience with data quality frameworks
- Knowledge of machine learning pipelines
Compensation
Competitive salary offered based on experience and location
Work Arrangement
Remote
Team
Collaborative team environment focused on data engineering and cloud technologies
Application Process
- Interested candidates should submit a resume and cover letter
- Shortlisted applicants will be contacted for an initial screening
- Selected candidates will proceed to technical interviews
- Final interviews will include team members and technical leads
- Offer extended based on performance and role fit
About the Role
- This position focuses on building and maintaining cloud-based data solutions
- Engineers will work primarily with Azure-native tools and services
- The role emphasizes automation, scalability, and data reliability
- Collaboration with analytics teams is a key component
- Remote work is supported with flexible scheduling within Latin America
Not available
