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Data Engineer

2 months ago

New York, New York, United States Selby Jennings Full time
About the Role

Selby Jennings is seeking a highly skilled Data Engineer to join our team in New York. As a Data Engineer, you will play a critical role in harnessing cutting-edge technology and data innovations to achieve superior investment returns.

Key Responsibilities
  • Develop and Maintain Data Pipelines
    • Design and implement efficient and scalable end-to-end data pipelines for integrating both internal and external data sources essential for investment decisions.
    • Implement ETL (Extract, Transform, Load) processes for both structured and unstructured data.
    • Develop and optimize data workflows to ensure quality, consistency, and reliability through rigorous quality control measures.
  • Enhance Data & Technology Infrastructures
    • Improve and maintain existing infrastructures, including storage solutions, databases, data warehouses, and visualization platforms.
    • Establish and refine organizational structures.
    • Maintain and support all systems and processes, whether hosted in public or private clouds.
  • Collaborate with Investment Teams
    • Collaborate closely with Portfolio Managers and the broader investment team to optimize and enhance the entire investment analytical process, from idea generation to execution.
    • Develop and refine visualizations for analytics.
    • Identify, analyze, and manipulate large and diverse data sets for idea generation and research.
    • Research, evaluate, and back-test the predictive quality of large data sets to construct investment theses based on established and emerging KPIs.
  • Support Investment Analytics Platform
    • Collaborate with a Global Commodities Investment Team to support our investment analytics platform, which is crucial to our investment process.
Requirements
  • Education
    • Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related STEM field.
  • Technical Skills
    • Strong programming skills in Python and SQL.
    • Solid understanding of ETL processes.
    • Experience with cloud services like AWS or Azure.
    • Experience working in a Linux environment.
    • Demonstrated knowledge of data structures, data modeling, software/technology architecture, dashboard creation, and data scraping.
    • Proven experience in building dashboards.
  • Experience
    • Strong communication skills, a solid work ethic, and attention to detail.
    • Demonstrated curiosity and eagerness to acquire new skills and address new challenges.
    • 1-6 years of experience in data engineering or a quantitative role, preferably in finance firms such as investment banks or other hedge funds.
    • Experience using data visualization tools such as Plotly, Dash, Excel, and Python.
    • Experience with web scraping, managing data pipelines, and related infrastructures.