About the Role
The candidate will develop and optimize data workflows, support analytics needs, and contribute to the evolution of data platforms using modern tools and practices.
Responsibilities
- Design and implement robust data pipelines for efficient data movement
- Monitor and troubleshoot data workflows to ensure reliability
- Collaborate with analysts and developers to understand data requirements
- Improve data quality and consistency across systems
- Maintain and scale existing data storage and processing solutions
- Document data architectures and integration processes
- Optimize query performance and data access patterns
- Support the deployment of data models into production environments
- Evaluate and integrate new data technologies when appropriate
- Ensure data security and compliance with internal standards
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Remote position with flexible hours
Team
Part of a growing engineering team focused on data systems
Tech Stack
- Primary tools include Python, Airflow, BigQuery, and Google Cloud Platform
- Infrastructure as code using Terraform
- Monitoring via Prometheus and Grafana
- Collaboration through Jira and Confluence
Professional Development
- Access to training platforms and technical workshops
- Opportunities to attend industry conferences
- Internal knowledge-sharing sessions and code reviews
Does not offer visa sponsorship for this role
