Senior Engineer - BigData (USA)

06/04/2015 15:34

Job Title: Sr. Engineer

 

Experience: 7+ years of experience in the implementation role of high end software products in telecom/ financials/ healthcare/ hospitality domain.

 

Education: Engineering Graduate, MCA, Masters/Post Graduates (preferably IT/ CS) 

 

Location: USA

 

Desired Candidate must be a US Citizen or an existing H1 Holder

 

Role would require a person willing to do extensive travelling

 

Domain 

 

BigData

 

Primary Skills:

  • Very strong server-side Java experience, especially in an open source, data-intensive, distributed environments.
  • Should have worked on open source products and contribution towards it would be an added advantage.
  • Implemented and in-depth 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 (Multi-tenancy, 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.
  • Self-starter & 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 to offshore. 
  • 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

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