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Data Extraction Lead Engineer- Special Exception - Technical

$90+ / hour
Full-time
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 A very high level candidate that has experience building a data platform for high frequency data storage.

Client: Pimco, Newport Beach, CA
Bill Rate: $90/hr (could go higher for the right person)
Length: 30+ months (Manager said this is an on-going project with no end date)
Location: Newport Beach - must sit on-site
Interview process: Phone screen, if they pass they will take a test and then interview over Skype or in-person if they are local.
 
I can use H1B candidates all day and they are willing to hire over Skype for this role.
 
Details

Description:  
Objectives
•Participate in architecture, design and implementation of large-scale distributed system that extract data.
•Perform data scraping, cleansing, curation, parsing, integration, semantic mapping and enrichment.
•Create and maintain documentation and technical specs.
•Perform analysis and monitoring on datasets to ensure completeness and integrity.
•Coordinate project-related work with researchers and engineering teams.
•Manage, monitor and mentor the effort of data pipeline including agent configuration and data publishing.
•Monitor model production and testing processes; monitor dataset production; Investigate and troubleshoot issues •Address questions from internal consumers relating to market data, examine datasets and interact with vendors •Compile and analyze model production statistics and produce specialized reports
 
Requirements
1) Proficiency in at least one scripting language like Java/Ruby/Python/V8 (required)
2) Proficiency in at least one compiled language like Go/Rust/Scala/C++ (required)
3) Experience with kdb+ or InfluxDB (required) Experience with modern development stack (GitLab/Docker/Kubernetes/Rancher) (desirable) Exceptional academic background with bachelor's degree or higher in Computer Science or Computer Engineering.
4) Deep knowledge of computer systems, object oriented design, data structures and algorithms Experience in software development life cycle and developing large scale software systems Experience with tick data, fundamental data, reference data Experience in programming and working in IAAS infrastructure Machine Learning Research and NLP Experience is a great plus Database Administration/Programing (desirable)
 

Last updated on Jun 8, 2017

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