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Technical Lead – Observability Data Lake
| Company | CVS Health |
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| Location | Florida, USA |
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| Salary | $106605 – $213210 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- A minimum of 7 years of experience in observability, data lake management, or related fields.
- Strong proficiency in Vector.dev for building and maintaining data pipelines.
- Expertise in ClickHouse for high-speed data storage and retrieval.
- Experience with Grafana for data visualization and monitoring.
- Familiarity with event management and open-source technologies.
- Strong analytical skills, with a focus on delivering actionable insights and improvements.
- Excellent problem-solving skills and the ability to work collaboratively in a dynamic, fast-paced environment.
- Strong communication and interpersonal skills, capable of working effectively with diverse teams.
- Experience with modern development tools and practices, including version control, continuous integration/continuous deployment (CI/CD), and agile methodologies.
Responsibilities
- Architect, engineer, and optimize the observability data lake, ensuring it can handle data ingestion and correlation at scale from various sources.
- Leverage Vector.dev for building and maintaining efficient data pipelines.
- Utilize ClickHouse for high-speed data storage and retrieval.
- Implement Grafana for data visualization, providing actionable insights for observability use cases.
- Ensure seamless integration, correlation, and visualization of data to support real-time decision-making.
- Drive innovation in the open-source observability space, continuously seeking ways to improve the platform.
- Collaborate with cross-functional teams to address complex observability challenges and deliver integrated solutions.
- Document processes and solutions, providing clear guidelines and support for IT operations and development teams.
- Stay updated on the latest technologies and practices in observability and data lake management, continuously seeking ways to improve operations and contribute to innovation within the team.
- Troubleshoot and resolve issues related to the observability data lake, providing expert guidance and solutions to enhance performance.
- Participate in project meetings, providing technical oversight and contributing to the successful delivery of observability solutions.
Preferred Qualifications
No preferred qualifications provided.
