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TL;DR
Senior Software Engineer (Python/AWS): Building scalable data pipelines and file-based delivery systems for a next-generation data feed platform with an accent on AWS cloud architecture, multi-format data delivery, and enterprise-grade reliability. Focus on designing S3, SFTP, and cloud marketplace integrations, validating data quality, and migrating legacy feed products to cloud-native systems.
Location: Toronto, Ontario, Canada; hybrid with four days in the office each week in most locations
Salary: CAD 90,489–132,711 per year; 12.5% annual incentive target
Company
Morningstar develops data and technology solutions, including a next-generation data feed platform for enterprise clients.
What you will do
- Build and maintain Python-based data pipelines on AWS using S3, Lambda, Step Functions, Glue, and ECS.
- Design reliable delivery systems for CSV, Parquet, and JSON files using S3, SFTP, and cloud data marketplaces.
- Implement partitioning, compression, encryption, data validation, monitoring, and alerting.
- Migrate legacy feed products to cloud-native AWS architecture and contribute to CI/CD and infrastructure-as-code practices.
- Help build web interfaces for feed monitoring and configuration.
- Participate in code reviews, technical documentation, and production support.
Requirements
- Bachelor’s degree in computer science or a related field and 5+ years of software or data engineering experience.
- Professional experience with Python for data pipelines, ETL processes, and backend services.
- Hands-on experience with AWS, Google Cloud Platform, or Azure, including compute, storage, and serverless services.
- Experience with CSV, Parquet, and JSON data formats and reliable data delivery solutions.
- Familiarity with SQL, Git, CI/CD, and automated testing.
- Ability to work in the Toronto hybrid environment, with regular in-office collaboration.
Nice to have
- Experience with Vue.js, React, or other modern JavaScript frameworks.
- Knowledge of data governance, metadata management, and data lineage.
- Experience in financial services or other regulated industries with strict data quality and SLA requirements.
Culture & Benefits
- Hybrid work designed around regular in-person collaboration.
- Tools and resources for engaging with global colleagues.
- Benefits and flexibility options that can adapt as needs change.
- Annual incentive target of 12.5%.
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