Data Engineer
algoleap
Job Description
Hands on SQL implementation
Implementation of SQL-based risk logic, including base, semantic, and reporting data layers, with primary hands-on responsibility for complex transformations and performance tuning.
Cross-stream technical collaboration:
Strong collaboration with other SQL developers, data engineers, and full stack engineers, ensuring alignment across ingestion, data layers, APIs, and user interfaces.
Risk data correctness and integrity:
Ensures consistency and correctness of positions, exposures, pricing, and P&L outputs across end-of-day and reporting use cases.
Architecture and design stewardship:
Reviews architectural decisions across database, data ingestion pipelines, OpenSearch, and .NET/React-based UI and API layers.
Business and domain partnership:
Partners closely with the Senior Business Analyst, Domain Modeler, Technical Lead to translate business requirements into implementable technical designs, providing feasibility assessment and technical guidance.
Technical risk and debt management:
Identifies, assesses, and proactively manages technical risks, performance bottlenecks, and technical debt to protect platform stability and long-term maintainability.
Delivery and production readiness:
Supports release planning, cutovers, and production readiness, ensuring data availability, performance validation, and operational stability.