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, NumPy, SciPy)
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