Are you a operations engineer with background in supporting big data systems? Then this gig might be of interest.
In short, our agents global end client is looking for this resource to come in and support an aircraft flight sensor system that has a big data framework supporting it. The resource they want would be engaged with customers in requirements and scope definition, monitoring, testing, and troubleshooting of the live system. The system is primarily seen as a data connectivity solution so background in the same is of value. You can see some aspects of the platform below.
So, if this sounds like you, APPLY TODAY!!!
(in order of desirability)
#1 - Operations Engineer w/ Scripting (Python, Perl, etc.); Big Data Solutions; Cloud exposure ideally w/ Azure; Automated testing exposure.
SKILLS - CORE:
Production Support -- Big Data Systems
Scripting languages and Command line tools
If not listed in resume, notate here ALL education details for candidate (institution, degree, year of graduation)
SKILLS - MAJORITY REQUIRED:
Production Support -- High Availability
Production Support -- Disaster Recovery
Scripting Language -- Python
Scripting Language -- Perl
Scripting Language -- Groovy
Framework -- Spark
Cloud -- Microsoft Azure
If the candidate is a sub-contract to you, are you o.k. with us paying you your markup separate and contracting directly with the candidates employer of record directly (Yes/No)? Put NA in comments if you are employer of record.
1st Language English or equivalent (i.e. 8 years in US, AUS, Singapore, Europe, etc.)
Provide either (1) an online profile (LinkedIn URL, etc) or (2) a reference that you reported to. If providing reference, share name, company, phone, and email where email is from the domain of the company. If neither, put NA in comments.
Is candidate open to off shift (i.e. weekends, nights) as needed
SKILLS - ALSO CONSIDERED:
What is your birthday (agent/client use it for personal ID -- only need month/day)
If you are not local, are you willing to relocate at your cost (no expense to us or agent/client)?
Ideal times for follow-up conversations by phone (i.e. after 5 p.m., 12-1, anytime, etc.)
Screens with candidate (phone and/or video) may be recorded to enable the overall selection process. Are you comfortable with that?
Skype ID of candidate (in case agent or client requests video call)
Employment Type: Contract
Role: Big Data Support Engineer
Location: Seattle, WA.
Compensation: Up to $74.50/hr in a c2c/1099 structure. Limited W2 structure also possible but rate drops to $65.50/hr gross. We say gross as the limited w2 rate shown is before employer/employee taxes (not take home; take home would be lower as its after employee taxes which vary).
Payment Terms: Weekly invoice, NET 30 payment off invoice.
Expenses: Included in rate above
Current pool: 0/9 (In Play/Submitted). Click HERE for summary view of candidates submitted so far.
|Last Update ||04/02/19 21:44 PM. Tim Bauer. Client confirms they have a candidate in front of the hiring manager. So closing this out. We'll reopen this IF they come back and indicate that candidate fell through.. (full detail change log at bottom).|
|Shortlist On ||04/12/19|
|Start On ||04/29/19|
|Duration ||Duration is estimated to be 11+ months.|
|1st Post Date ||01/04/19|
|1st Screened by Amplified||0|
|Submitted to Client||0|
|Interviewed by Client||0|
|Client||Shared after 1st Screen|
|Agent||Shared after 1st Screen. Amplified is not the prime.|
|Contact for Lead
|Interview Details||Face-to-face interview is required after phone screen. If not possible, let LEVERAGEncy know on submission if Skype or other options could work (or none).|
||Client is only considering candidates with work authorizations of: Any Type
|Industry||Aerospace and Defense|
||The overall rating for this lead is C. This is based on contract duration being 11, 1 opening(s), and 7+ competitors at our level or better. You can see a graphical ruberic of how these stats translate to a rating .
|Layers||Between Amplified and the End Client there are 1 layers. In addition, the end client prefers that Amplified limits the layers between Amplified and the Employer of Record of the candidate to 0.|
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