Job Location: Bangalore/Bengaluru
This is a hands on role on a large multi-tenant Analytics Hadoop Cluster
Collaborating with partners from business and technology organizations, develop key deliverables for Data Platform Strategy – Scalability, optimization, operations, availability, roadmap.
Deliver projects within budget and deadlines
Ensure that the Hadoop data platform is capable of supporting a growing list of downstream platforms like and TensorFlow, MicroStrategy, Tableau and many more
Hands on performance tuning and operational efficiency
Formulate methods to enable consistent Data loading and optimize Data operations
Evaluate and introduce technology tools and processes to streamline operation of the data platform and for streamlining use case execution for a diverse user community from multiple LOBs
New project sizing and SME support
Ensure the Hadoop platform can effectively meet performance & SLA requirements
Data Platform best practices
Qualifications
Experience in optimization, capacity planning & architecture of a large multi-tenant cluster.
Typically, you will have 5+ years experience with focus on open source and Petabyte range data implementations.
Expertise in at least one commercial distribution of Hadoop. Preferably Cloudera/HW.
Experience with multiple open source tool sets in the Big Data space
Appreciation of diverse LOBs and their data needs combined with deep technical expertise are required for the role.
Minimum of four-year technical degree required. Masters will be highly regarded
Experience in tool Integration, automation, configuration management in GIT
Excellent verbal and written communication and presentation skills, analytical and problem solving skills
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