Lead Quality Assurance Engineer - Analytics - Data Platform

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Grow your IT career at one of the leading global technology companies. We offer hands-on exposure to state-of-the-art systems, applications and infrastructures.

Responsibilities

Do you want to help disrupt the live television world? Are you passionate about high scale distributed systems and data? If so, you should get in touch with us. We have been building the OnCue Data/Analytics platform and need more smart, independent, technical folks that can be hands on and help us continue with our mission.
 
Imagine working in a start-up, with the resources of a large company like Verizon. The OnCue organization is exactly that.
 
The role:
- Be a strong and active developer in the Analytics team, who happens to have an interest in Quality Assurance
- Create automation processes and tools to test multiple areas of our Analytics pipelines
- Mentor more junior QA Engineers
- Drive the practice of QA across the entire Analytics team
- Drive the process of TDD
 
*productsite

Qualifications

Skills:
- Proven experience testing complex Analytics and Data Collection pipelines
- Experience with the Hadoop ecosystem
- Experience with testing web/distributed applications
- Strong passion for automating anything that resembles a checklist
- Experience with Kafka is a plus
- Experience testing systems running in AWS is a plus
- Experience with EMR and RedShift is a strong plus

Equal Employment Opportunity

  • Verizon is a Federal Contractor
  • Verizon requests veteran priority referrals
  • Verizon is an equal opportunity and affirmative action employer M/F/Disability/Vet.