
Delivery Lead
3 weeks ago
Required Skills
Desired Skills and experience
- Strong Python 3.x experience for data ingestion and transformation.
- Data Frame processing expertise (Polars preferred, Pandas acceptable).
- Relational database modeling skills.
- Familiarity with Geneva's data structures (understanding output layouts, not platform config).
- AWS: S3, ECS/Fargate, RDS (Postgres).
- API consumption (GraphQL, REST, JSON).
- strong experience deploying Geneva in the Private Credit / Fund space and understands the nuances of multi-layer SPV/Fund structures setups.
- Know how Geneva securities work.
Nice-to-Haves
- Working Java knowledge for ORM integration.
- Experience with Snowflake as a data staging area.
- Knowledge of bitemporal data models.
- Workflow automation (BPMN tools).
Key Responsibilities
Focus is on extracting Geneva data outputs and integrating them into the firm's Postgres + ORM platform. This work is developer-centric, requiring both data engineering and financial data domain awareness.
Core Responsibilities
- Ingest and transform Geneva output data (post-trade, portfolio, accounting data) into the internal ORM (Postgres + ORM).
- Develop Python-based data importers for ingestion and transformation.
- Help implement Java components for ORM integration and bitemporal data model handling.
- Map Geneva data to internal relational structures, ensuring accuracy and referential integrity.
- Use GraphQL APIs to retrieve and deliver data in standardized formats.
- Collaborate with internal teams to enhance ingestion workflows and support downstream reporting.
- Ensure ingestion processes are documented, maintainable, and tested.
- Support AWS-hosted infrastructure for data pipelines (ECS/Fargate, S3, RDS).
- Work with Snowflake for temporary staging of fast-evolving datasets when required
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