DataOps Engineer
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Job Description
DataOps Engineer architecting the 'Golden Path' for data infrastructure for Panopto’s learning platform, enabling rapid innovation and seamless growth for 10+ million users.
Responsibilities:
- Engineer the Data Lifecycle: design and implement the "Golden Path" for data
- Implement Data as Code: treat AWS-hosted MS SQL as a version-controlled automated ecosystem
- Architect Multi-Layer Reliability: guarantee data quality and availability across all tiers
- Optimize for Scalability & Performance: identify and resolve architectural bottlenecks
- Standardize Data Observability: develop monitoring and alerting strategies
- Bridge the Engineering Gap: collaborate with Software Engineers and Data Scientists
Requirements:
- 5+ years of experience in DevOps or Database Administration
- expertise in managing MS SQL Server on AWS infrastructure (EC2, S3, CloudWatch)
- proficient in Python, Bash, or PowerShell
- working knowledge of C#
Benefits:
- health insurance
- flexible spending accounts
- retirement savings plans
- life and disability insurance programs
- paid time away from work
- bonuses
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