Senior Data Engineer
The Fixed Income & Commodities Data team is looking for a Data Engineer (8+ years of experience) who will work on the acquisition, accessibility, normalizing, and cataloging of large sets of data.
Responsibilities:
* Create and maintain optimal data pipeline architecture.
* Extract, transform, and load data from a wide variety of data sources using Python and SQL.
* Provide users access to datasets using REST and Python APIs.
* Categorize, catalog, cleanse, and normalize datasets.
* Communicate effectively with business users and technology stakeholders.
Required skills/experience:
* 8+ years of relevant experience in data engineering or a closely related field.
* Strong Python skills and experience with data analysis libraries (Pandas, NumPy, SciPy).
* Hands-on relational SQL database development experience.
* Unix/Linux experience.
* Bachelor’s 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 PostgreSQL.
* Identity and Access Management: Kerberos, OAuth 2.0, LDAP.
* Other technologies: Apache HTTP Server, Kafka, Snowflake.
* Broad understanding of credit, fixed income, derivatives, futures, FX, or other financial instruments.
Other Qualifications:
* Excellent listening and communication skills (both oral and written).
* Self-starter and critical thinker; takes ownership of projects and suggests improvements to the broader infrastructure.
* Proactive, assertive, and attentive to detail.
* Able to work both independently and collaboratively.
* Comfortable handling multiple projects with competing priorities in a fast-paced environment.
* Strong self-management and problem-solving skills.
* Quick learner.
