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Python ETL Developer/ Data Engineer

New York, NY

Job Summary

Build automated Python / ETL pipelines to support rapid but controlled transition of structured and unstructured data. Strong computer science and technical background with 5+ years of data engineering experience and an interest in working with data. (prior experience with big data sets preferred).

Details

Job Description

* Build automated Python / ETL pipelines to support rapid but controlled transition of structured and unstructured data
Design, develop, test, and deploy elegant data intensive software solutions across the firm
Partner with business leaders to define priorities and deliver custom solutions
Engineer world-class products with maximum efficiency and agility
Enable improvement of the engineering team through shaping of tools, processes and standards
Adopt new technologies to improve existing frameworks of data flow and monitoring
Interact with Investment professionals to understand their workflows and requirements
Produce comprehensive, usable dataset documentation and metadata
Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers
Ensure excellent customers relationships

Job Requirements

The ideal candidate would have a background and a deep passion for working with data and developing software to address data processing challenges

Strong computer science and technical background with 5+ years of data engineering experience and an interest in working with data. (prior experience with big data sets preferred)
Experience with designing and implementing data processing pipelines
Experience using distributed computing frameworks
An interest in financial markets (with prior experience a big plus)
Programming skills required – proficiency in Python and ETL
Ability to work in an open collaborative and highly charged trading floor environment.
Strong desire to contribute and build a business – not just solve novel problems.
Ability to work with a wide range of users – traders, portfolio managers, research analysts, quants and the wider investment management team to develop and implement technology in support of a dynamically growing Hedge fund platform

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