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About the Role

As a Software Engineer within the Canadian Banking Engineering team, you will design, develop, and modernize enterprise-grade data integration platforms. You will focus on building scalable batch and distributed data pipelines, enabling high-performance processing with Spark, and transforming legacy ETL workloads into modern, cloud-ready architectures.

Responsibilities

• Design, develop, and support scalable ETL and data pipelines using Talend and Apache Spark.
• Lead and contribute to the migration of legacy ETL workloads to modern frameworks like Spark.
• Build and optimize large-scale batch and distributed data processing pipelines.
• Analyze ETL performance bottlenecks and implement tuning strategies.
• Develop reusable ETL frameworks, components, and orchestration patterns.
• Implement data ingestion, transformation, and quality checks for structured and semi-structured data.
• Develop and maintain complex SQL transformations, stored procedures, and data models.
• Integrate ETL pipelines with enterprise systems using messaging, APIs, and batch orchestration.
• Ensure data integrity, lineage, reconciliation, and auditability.
• Collaborate with architecture and engineering teams to design target-state data platforms.
• Participate in end-to-end system integration and migration testing.
• Contribute to technical design discussions and provide stakeholder input.
• Collaborate with cross-functional teams including data engineering, application support, and infrastructure.
• Mentor junior developers and promote best practices in ETL design and performance tuning.
• Ensure adherence to coding standards, version control, and CI/CD practices.

Requirements

• Strong hands-on experience with Talend ETL development.
• Strong experience with Apache Spark (PySpark or Scala) for large-scale data processing.
• Experience with distributed data processing and big data frameworks.
• Strong Unix/Linux scripting experience for orchestration and automation.
• Strong experience with relational databases such as DB2 or Oracle.
• Advanced SQL proficiency including complex transformations, performance tuning, and stored procedures.
• Experience working with large datasets and data warehousing concepts.
• Proven experience in enterprise ETL and data pipeline development.
• Experience with data migration and modernization initiatives.
• Experience with batch processing frameworks, data ingestion, messaging systems (Kafka, MQ), and API-based integrations.
• Experience with source control systems like Git, Bitbucket, or GitHub.
• Hands-on experience supporting ETL modernization or platform migration programs.
• Understanding of data pipeline re-engineering and performance optimization strategies.

Skills

• Talend
• Apache Spark
• PySpark
• Scala
• Unix/Linux Scripting
• DB2
• Oracle
• SQL
• Kafka
• MQ
• Git
• Bitbucket
• GitHub
• Azure
• AWS
• GCP
• Airflow
• Spark Streaming
• Kafka Streams

Location

• Toronto, Ontario, Canada

About the Company

• Scotiabank is a leading bank in the Americas.
• Guided by the purpose: for every future.
• Provides personal and commercial banking, wealth management, private banking, corporate and investment banking, and capital markets services.

Equal Opportunity

• Scotiabank is committed to creating and maintaining an inclusive and accessible environment for everyone.
• The company provides accommodations during the recruitment and selection process upon request.