Data Engineer - FIC Technology

Overview

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.

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

• Bachelor’s degree in Computer Science or a related field
• 5+ years of professional experience with Python data engineering
• Python and data analysis libraries (Pandas, Num Py, Sci Py)
• Relational SQL database development
• Unix/Linux command-line experience

• Object-oriented languages:
  Java, C++, etc.
• AWS cloud services: EC2, RDS, Athena, Lambda, etc.
• RDBMS: SQL Server and PostgreSQL
• Identity and Access Management:
  Kerberos, OAuth 2.0, LDAP
• Other:
  Apache HTTP Server, Kafka, Snowflake
• Broad understanding of fixed income, derivatives, futures, FX, or other financial-services instruments

• 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 working independently and in a collaborative environment
• Ability to handle several projects with different priorities at the same time in a fast-paced environment
• Excellent self-management and problem-solving skills and a quick learner