Data Engineer Data Engineer …

Non-disclosed
in New York, NY
Permanent, Full time
Be the first to apply
180000
Non-disclosed
in New York, NY
Permanent, Full time
Be the first to apply
180000
25+ Billion asset management firm is searching for an engineer to work with their data team developing and analyzing quantitative data. Individual with source and asses data which includes backtesting and interfacing with vendors. Individual will support cloud based infrastructure. Engineer will create custom solutions to continuously monitor data pipelines maintaining cloud infrastructure and platforms across quant data and risk teams interfacing with business units providing solutions for migration to the cloud. Python, SQL, cloud, AWS, Devops

Desired Skills:

  • Bachelor’s degree in Engineering or Computer Science or Math with a minimum 3.6 GPA
  • Prior experience with the following
    • Programming (Python and SQL knowledge preferred)
    • Cloud architecture (e.g., AWS, GCP)
    • Working with data at scale (e.g., Pandas, Data Warehouses)
  • Prior experience with any of the following is a plus:
  • Container orchestration (e.g., Docker, Kubernetes, Airflow)
  • Automated data acquisition (e.g., Scrapy)
  • Machine learning, NLP, and/or ML-ops
  • Cloud DevOps
  • Concepts in statistics (e.g., regressions, predictive models, tests of significance)
  • Excellent interpersonal and communication skills
  • Track record of continuous learning
  • Demonstrated stong experience with for data engineering
  • Strong degree of integrity, professionalism and confidentiality)

 

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