Senior Data Engineer AWS Analytics
Summary
Senior Data Engineer at Farm Credit Canada (Regina, hybrid) building trusted data foundations for the Financial Modelling team — designing scalable repositories, automated pipelines and ETL/data-governance solutions using AWS (Redshift, Glue, Lambda, S3, Step Functions), Python, PySpark and advanced SQL to support forecasting, pricing and planning.
Build trusted data foundations at FCC using AWS, Python, PySpark and advanced SQL in a hybrid work environment. Support forecasting, pricing and planning with scalable solutions.
This permanent role supports FCC’s Financial Modelling team and its evolving data engineering capabilities. You will transform complex datasets, develop pipelines and enable reliable analytics for modelers, data scientists and business teams. The work strengthens data collection, governance and delivery across the organization.
Key Responsibilities:
- Design and maintain scalable data solutions and repositories
- Build automated pipelines delivering high-quality data
- Develop ETL solutions, integrations and automation
- Improve data quality, governance, monitoring and reporting
- Translate business requirements into technical solutions
Requirements:
- Bachelor’s degree and minimum three years’ relevant experience
- Advanced data management and analytical tools proficiency
- Experience with AWS Redshift, Glue, Lambda, S3 and Step Functions
- Proficiency in Python, PySpark and advanced SQL
- Knowledge of DataOps, DevOps, CI/CD and automation frameworks
Bring AWS data engineering, pipeline development and analytical skills to help FCC deliver accurate, trusted and actionable information.