Big Data Analytics Lead

Location: Santa Clara, CA
Date Posted: 05-19-2017
Big Data Analytics Lead
As the lead of a core team building our Big Data Analytics platform, this position requires a rare mix of Project Management/Scrum Master and strong technical expertise.
You will work with Product Management, Operations, and Support to continually build and extend our MapR based Hadoop Ecosystem platform consisting of Hadoop (Mapr-FS), Kafka compatible message bus (MapR Streams), Spark, logstash, and Flume.
The successful candidate will be someone who enjoys building very large-scale business critical data systems, passionate about Big Data and the Hadoop ecosystem.
You must be able to work in a team environment, technically manage a distributed team of strong engineers and bring our monitoring system to the next level by being a problem solver that is able to communicate and prioritize in a fast moving challenging, stimulating, and rewarding environment.
- Lead the team as Project Manager/Scrum Master
- Contribute to the Design and implementation of new capabilities as required
- Drive the SW Development Process using Agile Methodologies and Jira
- Proven experience leading strong engineering teams
- Proven experience building and scaling out a Hadoop based ecosystem for a large-scale on-line Service (MapR experience a plus)
- 8+ years of professional software engineering experience preferably in online service oriented businesses
- Experience in Agile methodologies using Jira
- Real world experience in Hadoop, Map/Reduce, Spark, Kafka (or similar message bus)
- Experience building software in Continuous Integration and automated deployment environment
About VidScale
VidScale is the first end-to-end Content Delivery solution in the OEM market that combines Content Delivery from Origin to Edge, Just-in-time-Packaging, Request Routing, and Analytics.
Located in Cambridge Massachusetts with Tier-1 Service Provider suppliers as OEM customers and developers located all over the world, VidScale is poised to disrupt the Content Delivery market in a very big way.
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