Data Engineer Ing nieur donn es - PINESTONE ASSET MANAGEMENT INC.
Data Engineer
Data Engineer responsible for building scalable data pipelines, modeling financial datasets, and deploying solutions on AWS to support equity research and portfolio construction.
About the role
Key Responsibilities
Design, develop, and maintain robust ETL pipelines to ingest, transform, and load large financial datasets from multiple sources.
Implement data models and schemas that support advanced analytics, reporting, and machine‑learning workflows.
Leverage AWS services (S3, Redshift, Glue, Lambda) to build scalable, secure, and cost‑effective data infrastructure.
Collaborate with data scientists, portfolio managers, and research teams to understand data needs and deliver high‑quality, reproducible datasets.
Monitor pipeline performance, troubleshoot issues, and continuously optimize for speed and reliability.
Requirements
3+ years of experience as a Data Engineer in a financial or investment environment.
Proficiency in Python, SQL, and experience with data orchestration tools (Airflow, Prefect).
Hands‑on experience with AWS data services (Redshift, Glue, S3, Lambda).
Strong understanding of data modeling, dimensional design, and ETL best practices.
Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced, research‑driven setting.