Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

As a Software Engineer (ETL Development focus) within Client Systems, Canadian Banking Engineering team, you will play a key role in designing, developing, and modernizing enterprise-grade data integration platforms. This includes building scalable batch and distributed data pipelines, enabling high-performance data processing using Spark, and supporting the transformation of legacy ETL workloads into contemporary, cloud-ready architectures.

This role is ideal for someone who thrives in large-scale data transformation programs, enjoys working on high-volume data pipelines, and is motivated to deliver reliable, performant, and future-ready data integration solutions.

Responsibilities

- Design, develop, and support scalable ETL/data pipelines using tools such as Talend and Apache Spark framework
- Lead and contribute to the migration of legacy ETL workloads to modern frameworks (e.g. Spark )




- Build and optimize large-scale batch and distributed data processing pipelines
- Analyze ETL performance (CPU, memory, I/O, runtime bottlenecks) and implement tuning strategies
- Develop reusable ETL frameworks, components, and orchestration patterns for enterprise use
- Implement data ingestion, transformation, and data quality checks across structured and semi-structured data sources
- Develop and maintain complex SQL transformations, stored procedures, and data models
- Integrate ETL pipelines with enterprise systems using messaging (Kafka/MQ), APIs, and batch orchestration frameworks
- Ensure data integrity, lineage, reconciliation, and auditability across pipelines
- Collaborate with architecture and engineering teams to design target-state data platforms and migration approaches
- Participate in end-to-end system integration and migration testing across distributed pl

📌 Software Engineer (Toronto)
🏢 Scotiabank
📍 Toronto