Python Engineer

Python EngineerThe 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 architectureExtraction, transformation, and loading of data from a wide variety of data sources using Python and SQLProviding users access to datasets using REST and Python APIsCategorizing, cataloging, cleansing and normalizing of datasetsCommunicating with business users and technology stakeholders.Required skills/experience:Python and data analysis libraries (Pandas, NumPy, SciPy)Relational SQL database developmentUnix/Linux command-line experienceBachelors 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, RDS, Athena, Lambda, etc.RDBMS: SQL Server and PostgreSQLIdentity and Access Management: Kerberos, OAuth 2.0, LDAPOther: Apache HTTP Server, Kafka, SnowflakeBroad understanding of fixed income, derivatives, futures, FX, or other financial-services instrumentsOther 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