Remote Principal Big Data Engineer

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Integral Ad Science

πŸ’΅ $208k-$357k
πŸ“Remote - United States

Job highlights

Summary

Join Integral Ad Science as a Principal Engineer and provide technical leadership and expertise to build ad verification, analytics, and ad fraud solutions.

Requirements

  • BS/MS in Computer Science, or related STEM degree
  • 12-15+ years of hands-on software development experience
  • Solid overall programming skills, able to write modular, maintainable code in Java/Python & SQL
  • Expert understanding of SQL, dimensional modeling, and at least one relational database including solid contribution to ERD
  • Solid proficiency with automation frameworks/tools like Git, Jenkins, Ansible, and Cloudformation (or Terraform)
  • Solid Proficiency with containers and infrastructure-as-code fundamentals
  • Solid Proficiency with Amazon Web Services
  • Good Understanding of Data Engineering and related frameworks
  • Good Understanding of front end frameworks like ReactJS/AngularJS
  • Familiarity with MVC, SOA, Restful Web services

Responsibilities

  • Architect, design, build and integrate our core ad analytics and ad fraud products end to end
  • Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation, in addition to mentoring the team
  • Partner with the Product team and other stakeholders across the company to understand product requirements, gather business and technical requirements from broadcaster clients, and research and develop solutions, including API development
  • Manage multiple competing priorities in a fast-paced, exciting, collaborative environment
  • Build and maintain high-performance, fault-tolerant and scalable distributed systems that can handle our massive scale
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
  • Automate cloud infrastructure, services, and observability
  • Develop CI/CD pipelines and testing automation
  • Establish and uphold best engineering practices through thorough code and design reviews and improved processes
  • Groom junior engineers through mentoring and delegation

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