Description

You will build and maintain data pipeline architectures to support business and technology stakeholders.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Extract, transform, and load data from diverse sources using Python and SQL.
• Provide dataset access via REST and Python APIs.
• Categorize, catalog, cleanse, and normalize datasets.
• Communicate technical requirements and data availability to business users.

Required Skills

• 4+ years of experience in data engineering or a related quantitative field.
• Strong Python programming skills.
• Proficiency with data analysis libraries including Pandas, NumPy, and SciPy.
• Hands-on experience with relational SQL database development.
• Experience working in Unix/Linux environments.
• Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or a quantitative field.

Preferred Skills

• Experience with Java, C++, AWS (EC2, RDS, Athena, Lambda), Snowflake, Kafka, or PostgreSQL.
• Knowledge of Apache HTTP Server, SQL Server, Kerberos, OAuth 2.0, or LDAP.
• Understanding of financial instruments such as credit, fixed income, derivatives, futures, or FX.

Key Skills

Education

Bachelor's degree