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Principal Engineer (Data Platform)

Vimeo, Inc.
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
startup.jobs

Tech stack

Application Release Automation Automation of Tests Big Data Data as a Services Data Infrastructure Delivery Pipeline Data Lakes Information Technology Data Programming Performance Monitor Data Pipelines

Job description

  • Design real time and batch pipeline according to business data requirements and service level objectives
  • Specify data platform components and configurations required for data pipeline implementation
  • Baseline pipeline performance to achieve scalability
  • Implement data pipeline metrics to monitor performance, accuracy
  • Identify, prioritize, and execute pipeline improvements
  • Partner with feature team engineering, data science, and external data partners to enable business deliverables
  • Lead engineering for standardized data services layer
  • Partner with Release automation engineering for deployment pipelines
  • Partner with QA automation engineering to validate pipelines
  • Troubleshoot systemic issues and lead improvements

Requirements

  • Bachelor or Masters in Computer Science or relevant field
  • 8+ years’ experience, including team leadership
  • Excellent understanding of real time and batch pipelines, big data, data pipelines, and/or data lakes
  • An analytical mindset with problem-solving skills
  • Excellent communication and collaboration skills
  • Ability to understand business domain and translate to data platform services

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Good distractions

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Moments

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Career evolution in data engineering and AI platforms

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