SQL Developer / Data Engineer
Role Overview
Senior SQL Developer / Data Engineer on TD’s Treasury & Balance Sheet Management Technology Reporting Platform team.
Supports a business-critical reporting ecosystem with a large-scale SQL data warehouse, data integration services, reporting solutions, and cloud modernization initiatives.
Works with business stakeholders, developers, architects, and data specialists across multiple locations.
Key Skills for This Role
Full Job Posting
Role and team
Senior SQL Developer / Data Engineer on TD’s Treasury & Balance Sheet Management Technology Reporting Platform team.
Supports a business-critical reporting ecosystem with a large-scale SQL data warehouse, data integration services, reporting solutions, and cloud modernization initiatives.
Works with business stakeholders, developers, architects, and data specialists across multiple locations.
What you’ll do
- Design, develop, and support scalable database solutions, reporting data models, and pipelines for business-critical reporting and analytics.
- Develop and optimize SQL queries, stored procedures, views, and ETL processes for performance and reliability.
- Perform data modeling, database design, tuning, and troubleshooting in enterprise data environments.
- Collaborate to deliver reporting, data integration, and analytics solutions; support production investigations, root-cause analysis, and enhancements.
- Contribute to big data, cloud, automation, and DevOps modernization initiatives; apply source control, automated testing, CI/CD, and AI-assisted development practices.
Required qualifications
- 5+ years in software development, database engineering, data engineering, or a related technical discipline.
- Strong Microsoft SQL Server development skills, including complex SQL, stored procedures, functions, and database programming.
- Experience designing and maintaining scalable data models and enterprise data warehouses.
- Expertise in query optimization, performance tuning, indexing, and database troubleshooting.
- Experience building and supporting ETL, data integration, or data engineering solutions.
- Familiarity with Hadoop, Spark, Spark SQL, or other big data technologies.
- Experience with CI/CD, DevOps practices, and automated testing.
- Strong analytical, troubleshooting, problem-solving, written, and verbal communication skills.
- Experience leveraging AI-assisted development tools such as GitHub Copilot.
Preferred qualifications
- Java and Spring Boot, .NET/C#, Azure Databricks, and Python development experience.
- Tableau and/or Power BI experience, cloud data platforms, and modernization programs.
- Financial services, treasury, risk management, or regulatory reporting experience.
Pay details
- Posted pay range is CAD $81,600–$115,200; the posting does not specify a pay cadence.
- The role is temporarily eligible for a pay premium above the posted range, reassessed annually.
Work location
- Work location is Toronto, Ontario, Canada. The posting does not specify a remote, hybrid, or onsite arrangement.
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