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Sr. Data Engineer

Sunnyvale, California, United States

DESCRIPTION

  • Design and develop framework to automate ingestion of structured data
  • Build distributed data infrastructure using open source tools.
  • Design and develop data pipeline components
  • Scale pipelines to meet performance requirements in a microservice architecture
  • Provide leadership to other Data Engineers
  • Responsible for technical direction of the team
  • Collaborate with colleagues and sharing responsibility throughout the product life-cycle

REQUIREMENTS

  • 5+ years of software development experience
  • 3+ years of experience with building scalable and reliable data pipelines
  • 2+ years of experience with scalable data integration technologies
  • Demonstrated experience in deploying and managing SQLNoSQL and Time Series databases
  • Have Knowledge on big data platform infrastructure like Kafka, Flume, Spark, Hadoop
  • Extensive experience building Reactive applications with Scala, Play, Lagom, Akka
  • Proficient in Scala, and Python
  • Experience with cloud technologies such as VMware, AWS, Azure, or Google Cloud
  • Demonstrated ability to communicate and collaborate with peers
  • Demonstrated skills in result-driven problem solving
  • Experience participating in talent screening and interviewing

BENEFITS

  • Medical, Dental & Vision Insurance
  • Life & Disability Coverage
  • Retirement/401K Plan
  • Flexible work and vacation schedules
  • Fully-stocked kitchen with healthy snacks and drinks
  • Free catered Wednesday lunches
  • Open and spacious office that is close to public transportation
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About CLoudKnox

CloudKnox Security Inc. transforms the way enterprises protect their critical cloud resources from insider threats. We empower IAM, security operations, and cloud infrastructure teams to continuously enforce and monitor the principle of least privilege across hybrid and multi-clouds using our patented Activity-based Authorization Protocol. CloudKnox deploys in minutes to deliver granular visibility, actionable insights, and control of machine and human identities with excessive high-risk privileges from day one.

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