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Big Data Software Engineer - Spark/Java


Job ID : 15330

Job Title : Big Data Software Engineer - Spark/Java

Location : New York, NY

Company Name : JPMorgan Chase Bank, N.A.

Industry : Information Technology

Salary : $54,000 - $94,000  per year

Job Type : Fulltime

Posted on: 2020-09-01


Required Skills :  Java, SQL, Scala, OOP, Linux, JIRA

Benefits : No benefits are available


Job Description:

As a member of the software Engineering Group you will dive head-first into creating innovative solutions that advance businesses and careers. You'll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing, and application programming that goes into creating high-quality software and new products. You'll be tasked with keeping the team and other key stakeholders up to speed on the progress of what's being developed. Coming in with an understanding of the importance of end-to-end software development such as Agile frameworks-is key. And best of all, you'll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world.

Required Strengths and Capabilities:

  • Degree or equivalent experience
  • Expertise in application, data and infrastructure architecture disciplines
  • Proficiency in modern programming languages: Java, SQL, Scala (nice to have)
  • Experience developing applications on Linux
  • Strong Object Oriented Programming skills
  • Working proficiency in developmental toolsets
  • Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
  • Understanding of software skills such as business analysis, development, and software improvement
  • Developing JIRA based on the product backlog, performing unit/component testing and code reviews and deploying code to remote environments utilizing industry best practices (CI Pipeline, Automated deployment)
  • Providing L3 support
  • Experience developing enterprise platforms using Big Data tools and technologies (e.g. Hadoop, Spark, Hive, Impala, Zeppelin, Jupyter) 

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