Big Data Analytics Solutions Architect - Bangalore - Ibm
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About IBM India: -
IBM has been present in India since 1992. IBM India's solutions and services span all major industries including financial services, healthcare, government, automotive, telecommunications and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM India from other companies in the industry.
Business Unit Introduction: -
IBM Systems are being designed around the core principles of collaboration, openness and virtualisation; essential ingredients of the kind of integrated infrastructure that can move businesses to the next generation of computing — collaborative processing. Collaborative processing is what happens when an organisation transcends its standard organisational boundaries, changing the way people interact with each other and with the IT environment that supports them.
The Systems Hardware portfolio includes Mainframe, Power, Storage, Networking, System Software and Integrated Solutions. Systems Hardware provides software and services products as well and these are generally closely related to the hardware products.
Who you are:
You are expected to lead discussions with client facing teams on analytics requirements, setup BD&A solutions based on industry usecases and demonstrate PoC / PoT in a client consumable format to field teams and / or clients.
What you'll do
When needed, should be able to run benchmarks that showcase the solution performance and be able to compare this with competing products in the market.
How we’ll help you grow:
Multiple Clients Exposer will help .
You are expected to have work experience with Big Data & Analytics solutions with Hadoop / Spark. Should also have expertise developing analytics solutions around Social Media Analytics & Business Analytics using Map Reduce / Spark SQL (Knowledge on R, Python is added advantage).
You should be able to setup Hadoop / Spark clusters from scratch and deploy analytics solutions on top of it. Should be willing to explore & learn newer technologies like Spectrum Scale integration with Hadoop, Apache Zeppelin, Databricks etc. Knowledge on using Ambari / OpenStack to deploy Hadoop is an added advantage.
Power Systems skills will be an added plus.
Certification in leading, Opensource DB distributions like Mongo DB, Apache Cassandra would be an added advantage.