Expert Data Engineer for Observability Solutions
1 week ago
Job Description:
The successful candidate will be responsible for designing, building, and maintaining data pipelines for telemetry, log collection, and metric processing. They will work closely with the platform team to ensure seamless integration with existing systems and contribute to the development of new features and tools.
Key responsibilities include developing runbooks for onboarding and configuring data sources, creating dashboards and visualizations, implementing log and metric pipelines, and executing migrations from legacy systems to modern platforms.
The ideal candidate will have experience with cloud-based infrastructure, scripting languages (Python, PowerShell), and APIs. They will also possess strong problem-solving skills, be able to collaborate with cross-functional teams, and demonstrate a passion for delivering high-quality results.
Requirements include a Bachelor's or Master's degree in Computer Science or IT, equivalent practical experience, and a strong background in data engineering, observability, and configuration management.
Required Skills:
- Cloud-based infrastructure (AWS, Azure, GCP)
- Scripting languages (Python, PowerShell)
- APIs (Datadog, Splunk, Terraform)
- Log and metric processing
- Database design and management
- Strong problem-solving skills
- Collaboration and communication skills
Benefits:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
How to Apply:
To be considered for this exciting opportunity, please submit your resume and cover letter detailing your relevant experience and qualifications. We thank all applicants for their interest; however, only those selected for an interview will be contacted.
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