Software Engineer – Cloud Data Platform

3 weeks ago


New York, United States beBee S US Full time

ABOUT EXODUSPOINT

ExodusPoint Capital, founded in 2017 by Michael Gelband and Hyung Lee, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. ExodusPoint brings together an accomplished team with hands-on experience running multi-manager businesses to create an institutional investment management firm.

JOB DESCRIPTION

The Enterprise Data group is focused on building a robust data platform which services a diverse set of investment teams and internal clients. The group consists of data sourcing experts, data product specialists, data scientists and data engineers, who are responsible for the discovery, management, and curation of thousands of alpha sources for the firm and our investment professionals. 

The Enterprise Data group is seeking a candidate to join an established platform team to help build a next generation data offering for ExodusPoint’s diverse investment teams, varying across asset classes and strategies.

Responsibilities:

  • Be part of large-scale platform implementation, leveraging latest AWS serverless and big data technologies
  • Collaborate with larger engineering and public cloud teams on design and development
  • Design, document, code, test and deliver data platform software capabilities on AWS cloud
  • Communicate with stakeholders on project deliverables

Qualifications:

  • Coursework towards a Master’s degree in computer science, engineering or related field
  • Experience developing using Java, Python is a plus
  • Understanding of distributed computing theory and distributed application architecture
  • Understanding of object-oriented programming concepts and best practices
  • Experience with software lifecycle
  • Advanced knowledge of database concepts, including OLTP, OLAP, SQL, noSQL
  • Hands-on experience with AWS native data and compute technologies (S3, Lambda, Glue, DataSync, EMR, Athena, Lake Formation, Kinesis, etc.) is a plus
  • Knowledge of developing containerized applications is a plus


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