Application Engineer, Data Operations
Tasks
- Automate workflows
- Conduct scalability testing
- Debug system errors
- Document technical issues and resolutions
- Drive process automation
- Enhance CI/CD pipelines
- Execute manual workflows
- Identify bottlenecks
- Implement corrective actions
- Improve observability
- Maintain production systems
- Maintain runbooks and technical documentation
- Manage infrastructure as code
- Monitor production systems
- Optimize system performance
- Perform root cause analysis
- Respond to production incidents
- Run performance testing
- Troubleshoot user issues
- Upgrade application frameworks
- Write and run ELT jobs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | CI/CD | Cause analysis | Databricks | ELT | GitHub Actions | Infrastructure as Code | Java | Observability | Oracle Database | Performance Testing | PostgreSQL | Python | Root Cause Analysis | Root cause | Runbooks | SQL | Scalability testing | Snowflake | Technical documentation | “as-code”
Education
N/A
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