Data Engineer Ing nieur de donn es - PINESTONE ASSET MANAGEMENT INC.
Data Engineer
Data Engineer focused on investment analytics, building scalable data pipelines and solutions on AWS using Python, SQL and Spark to support portfolio insights and innovation.
About the role
Key Responsibilities
Design, develop and maintain robust data pipelines for investment analytics using Python, SQL and Spark on AWS.
Implement ETL processes to ingest, transform and load large volumes of market and alternative data into data lakes and warehouses.
Collaborate with data scientists and portfolio managers to deliver high‑quality, reproducible datasets for modeling and reporting.
Optimize pipeline performance, monitor data quality, and troubleshoot issues in a production environment.
Document architecture, code, and best practices to ensure maintainability and compliance.
Requirements
3+ years of experience in data engineering, preferably in finance or investment analytics.
Experience with ETL frameworks, data modeling, and performance tuning.
Excellent problem‑solving skills and a collaborative mindset.