Data Engineer
Summary
Designs and maintains cloud cost-aware data pipelines, ETL/ELT frameworks, and telemetry systems to automate reporting and support cost-efficient decision making.
- Build data automation systems
- Build datasets for cloud cost visibility
- Create tooling for cost aware decision making
- Design data pipelines
- Develop data models and ingestion frameworks
- Ensure data quality validation and auditability
- Implement orchestration and monitoring
- Integrate telemetry and usage data
- Maintain ETL and ELT pipelines
- Optimize data systems for performance and cost
Perks/Benefits:
- International conferences
- Non technical training programs
- Remote-first
- Technical training programs