Hadoop Developer

Hadoop Developer

  • Tech savvy engineer – willing and able to learn new skills, track industry trend
  • 4+ years of total experience of very strong server-side Java/ Python/ Scala experience, especially in an Open Source, data-intensive, distributed environments with minimum 3 years’ experience in Big data related technologies
  • Worked on open source products and contributed towards it
  • Well aware of various architectural concepts of Distributed Computing, Data Warehousing and Analytics
  • Self-starter & resourceful personality with ability to manage pressure situations
  • Exposure to Scrum and Agile Development Best Practices
  • Experience working with geographically distributed teams
Department: Database
Project Location(s): Oak Ridge, TN, US

Responsibilities

  • Implementation of various solutions arising out of the large data processing (TB’s/ PB’s) over various NoSQL, Hadoop, and MPP-based products.
  • Active participation in the various Architecture and design calls with Big Data customers.
  • Building Team and Mentoring team members
  • Conducting sessions/ writing whitepapers/ Case Studies pertaining to Big Data.
  • Responsible for timely and quality deliveries.
  • Fulfill organization responsibilities – Sharing knowledge and experience within the other groups in the organization, conducting various technical sessions and trainings.

Skills/Experience

  • Core Java and Database:
    • 2+ years of experience in developing Java applications and web frameworks
    • Strong core java and related enterprise tech stack like Spring, Hibernate.
    • Strong understanding of web services, knowledge of REST architecture and working experience integrating with Web Services
    • Experience with web service development frameworks like Spring-WS or Jersey or Apache CXF and persistence frameworks such as Hibernate
    • Good knowledge of design patterns, data structures, algorithms, and performance optimization techniques
    • Hands-on experience in working with relational databases such as MySQL, Oracle, SQL Server
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