Description

You will own the development and maintenance of data pipelines for Geneva output data.

Responsibilities

• Ingest and transform Geneva output data (post-trade, portfolio, accounting) into internal ORM (Postgres + ORM).
• Develop Python-based data importers for ingestion and transformation.
• Map Geneva data to internal relational structures, ensuring accuracy and referential integrity.
• Support AWS-hosted infrastructure for data pipelines (ECS/Fargate, S3, RDS).
• Collaborate with internal teams to enhance ingestion workflows and support reporting.

Required Skills

• 5+ years of experience with Python 3.x for data ingestion and transformation.
• Expertise in DataFrame processing (Polaris preferred, Pandas acceptable).
• Strong skills in relational database modeling.
• Experience with AWS services including S3, ECS/Fargate, and RDS (Postgres).
• Proficiency in API consumption using GraphQL, REST, and JSON.
• Familiarity with Geneva data structures, including output layouts.
• Experience deploying Geneva in the Private Credit / Fund space.
• Knowledge of Geneva securities.

Key Skills

Education

Any Graduate