Java Data Science Engineer - - job id 30773


Your Way To Work™

Java Data Science Engineer -

$165,000 F/T Employee

Downtown, NYC West



How to Apply

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Spencer Sotto


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(646) 876-9544


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(212) 616-4800 ext-220




A F/T position at a major U.S. financial institution.

Pay Options: F/T Employee.

Contact Spencer Sotto. call (646) 876-9544 / (212) 616-4800 ext.220 or email spencer@sans.com with the Job Code SS30773 or Click the Apply Now button ().

Location: Downtown, NYC West.

Skills required for the position: Java or Python, Kibana, ElasticSearch, LogStash


Detailed Info: SDLC Platform Engineer

Description

SDLC Platform Engineer to focus on building out the next generation SDLC solution stack for all of GMT globally. The ideal candidate will be comfortable designing systems, coding services and forging working partnerships with application developers. Deep experience in engineering of fully automated and standardized SDLC pipelines which includes: build, test, deploy, release, entitlements, etc.


General Description

Responsible for developing, enhancing, modifying and/or maintaining applications in the Global Markets environment. Software developers design, code, test, debug and document programs as well as support activities for the corporate systems architecture. Employees work closely with business partners in defining requirements for system applications. Employees are expected to have in-depth capital markets product knowledge, and manage a high level of risk. Employees typically have in-depth knowledge of development tools and languages. Is clearly recognized as a content expert by peers. Individual contributor role. Typically requires 5-7 years of applicable experience. This job code is only to be used for associates supporting Global Markets.

Qualifications

Accomplished developer with track record of success. Familiarity with Linux and Windows. Experienced Python (or a similar language) developer. Degree(s) in computer science, engineering or relevant field.



Development/Computing Environment: Data Science necessary We need to build a data lake and get metrics from our entire SDLC platform ( Probably will be using ElasticSearch, So experience with the "ELK" stack (ie., ElasticSearch, LogStash, Kibana) is important, And that's experience designing an ElasticSearch cluster and the indexes, etc)

Must have tooling experience

Work experience. .

The position offers competitive compensation package.


Job Id: 30773