Big Data Platform Engineer

Verizon

(Palo Alto, California)
Full Time
Job Posting Details
About Verizon
Verizon is one of the largest communication technology companies in the world. Every day, we connect millions of people, companies and communities with our powerful technology. We’re using our award-winning network to make breakthroughs in interactive entertainment, digital media, the Internet of Things and broadband services for customers. Whatever the future looks like, whatever the digital world promises, we will deliver.
Summary
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
* Architect, Design and build big data platform primarily based on Hadoop echo system that is fault-tolerant & scalable. * Build high throughput messaging framework to transport high volume data. * Use different protocols as needed for different data services (NoSQL/JSON/REST/JMS). * Develop framework to deploy Restful web services. * Build ETL, distributed caching, transactional and messaging services. * Architect and build security compliant user management framework for multitenant big data platform. * Build High-Availability (HA) architectures and deployments primarily using big data technologies . Creating and managing Data Pipelines. *productsite
Ideal Candidate
* Bachelor¹s degree in Computer Science, Management Information Systems or related field. * At least 6 years of experience building and managing complex products/solutions. * Proven track record of Architecting Distributed Solutions dealing with real high volume of data. * Strong understanding of virtual machine technologies, physical machines, networking and storage systems. * 7+ years of experience with distributed, highly-scalable, multi-node environments. * Expert level experience with Big Data Technologies (Solr, Hive, HBase, Spark, Kafka, Yarn ,Storm, Splunk, Vertica), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop. * Expert level experience with Couchbase server. * Expert level experience with GlusterFS. * Experience in Dev/Ops (Puppet, Chef, Python) * Experience developing Restful web services in Spring framework * Working knowledge of web technologies and protocols (NoSQL/JSON/REST/JMS)

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