Ind Staff Engineer

The Hartford

Hadoop cluster administration on aws emr
Infrastructure as code with terraform or cloudformation
Site reliability engineering principles implementation
The role involves administering and engineering Big Data platforms across multiple Hadoop clusters in the cloud to ensure scalability and reliability

Job Summary

  • The role involves administering and engineering Big Data platforms across multiple Hadoop clusters in the cloud to ensure scalability and reliability.
  • Candidates will apply Site Reliability Engineering principles to design robust tooling and automated response mechanisms for proactive risk mitigation.
  • This position requires owning the architecture of Platform, PaaS, and SaaS solutions while providing technical leadership and mentorship to the team.

Matching Summary

The role involves administering and engineering Big Data platforms across multiple Hadoop clusters in the cloud to ensure scalability and reliability.

Skills & Requirements

Must-have

  • Hadoop cluster administration on AWS EMR
  • Infrastructure as Code with Terraform or CloudFormation
  • Site Reliability Engineering principles implementation
  • Python, SQL, Spark, and Linux proficiency
  • Incident triaging and service restoration ownership

Nice-to-have

  • Experience with Splunk, Dynatrace, or CloudWatch
  • Mentorship of junior and mid-level engineers
  • Knowledge of machine learning algorithms
  • Self-service data wrangling enablement
  • Data visualization and metadata management

Key Requirements

  • 7+ years of experience in platform administration and big data technologies
  • 3+ years of hands-on AWS Infrastructure as Code engineering experience
  • Bachelor's degree in Computer Science or related field
  • Architectural guidance experience for developers and administrators

Work Rights

Not specified

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