India

Big Data/ Hadoop Developer/ Architect (Delhi)

Big Data/ Hadoop Developer/ Architect (Delhi)
Description
Primary Skills
- Very solid serverside Java experience, especially in an open source, dataintensive, distributed environments.
- Should have worked on open source products and contribution towards it would be an added advantage.
- Implemented and indepth knowledge of various java, J2EE and EAI patterns.
- Implemented complex projects dealing with the considerable data size (GB/ PB) and with high complexity
- Well aware of various Architectural concepts (Multitenancy, SOA, SCA etc) and NFR’s (performance, scalability, monitoring etc)
- Good understanding of algorithms, data structure, and performance optimization techniques.
- Knowledge of database principles, SQL, and experience working with large databases beyond just data access.
- Exposure to complete SDLC and PDLC.
- Capable of working as an individual contributor and within team too.
- Selfstarter & resourceful personality with ability to manage pressure situations
- Should have experience/ knowledge on working with batch processing/ Real time systems using various Open source technologies lik Solr, hadoop, NoSQL DB’s, Storm, kafka etc Role & Responsibilities
- Implementation of various solutions arising out of the large data processing (GB’s/ PB’s) over various NoSQL, Hadoop and MPP based products
- Active participation in the various Architecture and design calls with bigdata customers.
- Working with Sr. Architects and providing implementation details
- Conducting sessions/ writing whitepapers/ Case Studies pertaining to BigData
- Responsible for Timely and quality deliveries.
- Fulfill organization responsibilities – Sharing knowledge and experience within the other groups in the org., conducting various technical sessions and trainings If you are interested, please send your resume at Apply on Kit Job: kitjob.in/job/4n7cl2
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Big Data/ Hadoop Developer/ Architect (Delhi) has been posted in the New Delhi Design & Architecture category on Locanto.

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