4 months ago
Toronto, CanadaSenior
Responsibilities
- Design, develop, and maintain backend services for reporting, analytics, data export, and data-driven product features.
- Design and implement APIs integrating with internal and external BI tools.
- Apply data modeling and transformation techniques for dimensional analytics and interactive visualizations.
- Ensure data quality, governance, privacy, and compliance standards across systems.
- Participate in code reviews, technical design discussions, and architecture planning.
- Mentor junior engineers and provide technical guidance.
- Research and experiment with tools, frameworks, technologies, and APIs.
- Contribute to sprint planning, estimation, retrospectives, and other agile development activities.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a related field.
- At least 5 years of backend software engineering experience in enterprise environments focused on reporting, analytics, data export, or insights.
- Expertise in systems design and experience designing complex distributed systems at scale with attention to performance, scalability, and fault tolerance.
- Strong understanding of dimensional data modeling, data transformation, and data visualization best practices.
- Experience with GCP, AWS, or Azure and cloud-based data warehousing, preferably Google BigQuery.
- Proficiency in server-side programming languages such as Python, PHP, or Go.
- Experience with relational and NoSQL databases such as MySQL and MongoDB, including schema design, data modeling, and performance tuning.
- Familiarity with streaming or near-real-time ingestion technologies such as Kafka and Pub/Sub.
- Understanding of API design and integration with Looker, Tableau, and Power BI.
- Proficiency with JSON and CSV data serialization formats.
- Knowledge of data privacy, security, and governance best practices.
- Experience with Scrum, Kanban, or other agile software development methodologies.
- Ability to lead technical discussions, mentor junior engineers, and collaborate cross-functionally.
- Strong analytical, problem-solving, communication, and code-quality skills.
- Experience integrating applications with AI/ML systems is a plus.
Benefits
- Recognition and Rewards program.
- Health benefits and life insurance beginning on the first day.
- Parental leave top-up.
- Employer-matched RRSP contributions.
- Flexible vacation.
- Employee and Family Assistance Program with mental health, legal, and financial counselling.
- Professional development and career growth support, including LinkedIn Learning and mentorship.
- Employee-led diversity and inclusion resource groups.
- Regular connection, belonging, and well-being events.
- Hybrid flexibility with time in the Liberty Village, Toronto office.
- Permanent full-time employment.
Tech Stack
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