Data Engineer (Python)

Full Time Posted 27 days ago
Main Location
New York City, NY, United States
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Data Engineer (Python)

The Fixed Income & Commodities Data team is looking for a Data Engineer that will work on the acquisition, accessibility, normalizing, and cataloging of large sets of data.

Responsibilities:

  • Create and maintain optimal data pipeline architecture.
  • Extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL and AWS technologies.
  • Providing users access to datasets using REST and Python APIs
  • Categorizing, cataloging, cleansing and normalizing of datasets
  • Communicating with business users and technology stakeholders.

Required skills/experience:

  • Python and data analysis libraries (Pandas, NumPy, SciPy)
  • Relational SQL database development
  • Unix/Linux command-line experience
  • 3+ years experience with Masters or 5+ years with Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Desirable skills/experience:

  • Object-oriented languages: Java, C++, etc.
  • AWS cloud services: EC2, EMR, RDS, Redshift, Athena, Lambda, etc.
  • RDBMS: SQL Server and PostgreSQL
  • Big data tools: Hadoop, Spark, Presto, Kafka, etc.
  • Other: Elastic stack, RESTful APIs, Node.js
  • Broad understanding of fixed income, derivatives, futures, FX, or other financial-services instruments

Other Qualifications:

  • Excellent listening, and communication (both oral and written) skills.
  • Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure.
  • Proactive, assertive and attentive to details.
  • Can work independently and in a collaborative environment.
  • Can handle several projects with different priorities at the same time in a fast-paced environment.
  • Excellent self-management and problem-solving skills.
  • Quick learner

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Data Engineer (Python)
Millennium Management