As a Big Data engineer you will be working with internal teams to support our big data solution which consists of the following technologies Linux, Microsoft Windows, Microsoft SQL, HP Vertica, Hadoop, and Kafka. You will be responsible for :

Working with our industry leading customers and internal teams to implement, troubleshoot and maintain enterprise big data eco systems (E.g. archiving tools, backup, data flow, data loading)
Deploying and configuring Optimal+ solutions using automation tools like Chef
Deploying and troubleshooting Optimal+ solutions in the cloud and customers on-premise data centers such as Amazon Web Services, Azure and others
Perform major and minor upgrades release and verify SQL, Vertica, Hadoop and Optimal+  patches, hotfix, new release planning
Run post upgrade system health check, daily health check, respond to monitoring alerts and log remediation
Monitor the OS, SQL, HP Vertica, Hadoop and Kafka
Triage issues by review logs or examining system events to determine if the issue needs to be escalated to tier 3
Monitor and maintenance backups SQL, Vertica and Hadoop
Create and work tickets assigned to your queue.
Some travel and after hour support are required on an as needed basis defined by the customer 15%

Degree in Computer/ Telecommunication Engineering/Information Technology or a minimum of 10 years of work experience with enterprise applications.
10+ years enterprise level support experience on Microsoft Windows, Linux RedHat/CentOS installation, support and troubleshooting
10+ years enterprise level support experience on Microsoft Server 2008-2016 installation, support and troubleshooting
Experience in support, configuration and troubleshooting of highly available enterprise networking and storage including philosophies and best practices (NAS, SANS, RAID, load balancers, VIP Etc.)
Enterprise cluster support, troubleshooting, installation of current versions of HP Vertica Clusters
Enterprise cluster support, troubleshooting, installation of current versions of Cloudera or MapR distributions of Hadoop
Enterprise support, troubleshooting, installation of current versions of Kafka
·      Backup and restore strategies, industry best practices and principles RPO, RTO

·      Adaptable, driven, self-starter that can work independently or as part of a team that is willing go the extra mile with good interpersonal skills

Experience in semiconductor testing environment is an advantage
Experience with SQL high availability and load balance – SQL Always on
Experience with IIS Load balancer
Knowledge in enterprise monitoring and log management tools is an advantage (Splunk, Elastic Search)
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.