⚡ New

Platform Engineer, Engine

Finstars In

TorontoFull-timeMid LevelOn-site

Job Description

You will develop and maintain robust data pipelines, ETL processes, and data modules supporting independent risk analytics projects built on Java, .NET/C#, and C++. You will be responsible for ensuring data quality, designing efficient schemas, and collaborating with analytics and infrastructure teams to deliver reliable, high-performance data solutions for risk calculation and reporting. This role provides a unique opportunity to work with complex financial datasets and high-performance risk engines, gaining exposure to regulatory frameworks and multi-technology integration in a mission-critical environment.

Responsibilities Design and implement ETL processes for ingesting, transforming, and validating trade, market, and scenario data from diverse sources and formats. Build and maintain data pipelines and modules for Java (Spring), .NET/C#, and C++/Python projects, supporting integration with native components (C, C++, etc.). Manage and optimize relational databases, including schema design, indexing, and performance tuning.

Support risk analytics engines by preparing, testing, and managing large and complex datasets. Collaborate cross‑functionally to ensure data quality and consistency across analytics and reporting modules. Develop and automate scripts for data initialization, transformation, and updates (Shell, Batch, PowerShell, Python).

Support installer/packaging automation for data‑related modules as needed. Experience and Qualifications Strong programming skills in C# (.NET Core/Framework), Java (Spring ecosystem), and/or C++ (with CMake). Hands‑on experience with relational databases, including advanced SQL and schema optimization.

Proficiency in ETL, data validation, transformation, and batch processing. Scripting experience (Shell, Batch, PowerShell, Python) for automation and deployment. Familiarity with Git and experience working in multi‑language/multi‑module environments.

Knowledge of financial and risk data formats (XML, DTOs, scenario shocks, capital reports) – preferred. Familiarity with multi‑language integration (C, C++, F#, Pascal) – preferred. Prior experience in regulated financial services, banking, or risk management environments – preferred. #J-18808-Ljbffr

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