An Initial AI Screening will be conducted for this role.
Contract Duration: 5 months
Daily Responsibilities:
SAS to Python/PySpark migration- coding (80%) + self unit testing (20%)
- Build and optimize scalable data pipelines in Python and PySpark, ensuring reliability and performance across HDFS/Hive and AWS S3 environments.
- Lead migration initiatives transforming legacy SAS processes into modern, cloud-ready Python/PySpark solutions.
- Architect data workflows that support credit risk analytics and business intelligence at scale.
- Write production-grade code with rigorous testing, documentation, and adherence to software engineering best practices.
- Partner with data scientists and stakeholders to translate business requirements into robust technical solutions.
- Manage code quality and collaboration through GitHub version control and peer review processes.
- Document technical infrastructure to enable team knowledge sharing and system maintainability.
What program/technology/software knowledge is essential for this role?
SAS, SQL, Python, PySpark
Must-have Skills:
- 3+ years hands-on data engineering experience, ideally in financial services or credit risk environments.
- Advanced proficiency in Python and PySpark for designing and optimizing large-scale data processing solutions.
- Strong SQL expertise with demonstrated experience in big data platforms (HDFS, Hive, or equivalent).
- Proven ability to translate complex data requirements into clear, actionable solutions that drive business decisions.
- Software engineering discipline – writes clean, testable, and maintainable code with attention to quality and documentation.
- Growth mindset – committed to staying current with evolving data technologies and continuously raising technical standards.
Nice-to-have Skills:
- Track record of solving ambiguous, high-impact problems with clear decision-making and collaborative problem resolution.
- Excellent communication skills – ability to explain technical concepts clearly to both technical and non-technical stakeholders.
- Background in financial services, particularly in credit risk, lending, or regulatory analytics.
- Experience with legacy systems and languages (SAS, TRIAD, BLAZE, or similar mainframe/proprietary platforms) – valuable for understanding existing processes during migration.
FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is $85/hr -$95/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.
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