Extract high-quality, value-add data and create Analytical models.
Identify, analyze, and interpret trends or patterns in complex data sets.
Building new scripts and tools to integrate data sources
Working closely with development and support groups to determine what needs to be monitored at what levels
Build automated alerts on the health of the monitoring systems.
What you will bring to the table
Minimum 6 years experience in Big data field
Strong Linux/Unix background
Experience in working on large dataset (in TB) using Hadoop, Spark, ElasticSearch to solve real business problems.
Hands on experience in building and deployment of Statistical Models/Machine Learning solutions.
Strong hands-on expertise of predictive analytics and analytical techniques including sampling, clustering, decision trees. Time-series, forecasting, and linear/ logistic regression using R/Python/Scala.
Hands on experience in developing graphs and reports.
Strong Splunk/ELK Experience
Solid understanding of HPE monitoring suite, Zabbix and MoogSoft
Solid scripting abilities in Python/Perl/Bash
Solid understanding of HANA Database installations, configurations will be a huge plus
Strong problem solving and analytical skills demonstrated the ability to assimilate new information and understand complex topics
Strong interpersonal and communication skills, written and oral, to allow works well in a multicultural team environment
Self-starter's ability to manage multiple priorities in a fast paced work environment