Data Engineer

Mindlance

TorontoFull-timeMid LevelOn-site

Job Description

Job Role: Data Engineer Duration: 5 Months (4 days need to go onsite) Location: Toronto, ON You'll design and maintain high-performance data pipelines as a core member of our technology transformation team. Your focus: migrating legacy SAS processes to Python and PySpark, while optimizing data processing across HDFS/Hive and AWS S3 platforms. This hands-on technical position offers the opportunity to drive scalability, efficiency, and accuracy improvements in solutions that directly impact credit risk management across the organization.

What will you do? 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 do you need to succeed?

Must have: 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. We use AI in our Hiring processes Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

We will be happy to work with applicants requesting accommodation at any stage of the hiring process

Posted 2 weeks ago

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