Data and DevOps Engineer, Architecture
Skills
- Data pipeline development
- Automation
- Dashboard creation
- Python proficiency
- SQL querying
- Linux system configuration
- Git version control
- C/C++ tool building
- CI/CD integration
Responsibilities
- Design dashboards and automate performance tracking for software workloads.
- Maintain or migrate custom data analysis workflows to scalable platforms.
- Manage and store large datasets efficiently.
- Engage with architecture and design projects continuously.
- Collaborate with engineers to evaluate performance tradeoffs.
- Streamline resource allocation and scheduling for CI/regression tests.
- Identify resource needs and participate in purchasing decisions.
- Implement improvements in simulation methodologies.
- Develop solutions for workflow and job failure detection.
Education
- Master’s degree in data engineering or similar field
Benefits
- Highly competitive compensation package
- Equal opportunity employer
- Comprehensive health benefits
- Flexible work environment
Average salary estimate
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