Int. ETL Developer Ai/ML exp migrate our banking client’s data infrastructure from -premises systems Jobs in Toronto, Canada at S.i. Systems
Title: Int. ETL Developer Ai/ML exp migrate our banking client’s data infrastructure from -premises systems
Company: S.i. Systems
Location: Toronto, Canada
Category:
Position: Int. ETL Developer with Ai/ML exp to help migrate our banking client’s data infrastructure from on-premises systems to
Int. ETL Developer with Ai/ML exp to help migrate our banking client’s data infrastructure from on-premises systems to AWS cloud
Duration
: 12 Months
Location: Toronto, Hybrid (2-3x/week)
Department: Risk Data Technology – Credit Risk Data Team
Reports To: Director, Risk Data Technology
Role Overview
We are seeking a Junior to Intermediate Developer to join our Credit Risk Data team during an exciting transformation period. The successful candidate will play a key role in migrating our data infrastructure from on-premises systems to AWS cloud, building modern ETL pipelines, and preparing our data architecture to support AI-driven initiatives.
Key Responsibilities
Develop and maintain ETL processes, migrating existing SSIS packages to AWS Glue
Build and optimize data transformation layers on AWS cloud infrastructure
Work with Redshift and other AWS data services to create scalable data solutions
Support the migration of legacy Netezza/on-prem data workloads to cloud-based architecture
Write clean, well-documented code following team standards and best practices
Collaborate within agile pods to deliver incremental value on sprint cycles
Participate in code reviews and contribute to technical documentation
Ensure data is structured and formatted for downstream AI/ML consumption
Must Haves:
Technical:
2-4 years of experience in data/ETL development
Proficiency in SQL and relational database concepts
Experience with SSIS (SQL Server Integration Services)
Exposure to or working knowledge of AWS services (Glue, Redshift, S3)
Familiarity with Java development is an asset
Understanding of data pipeline architecture and ETL best practices
Tools & Environment:
Jira and Kanban for agile project tracking
Git or similar version control systems
Data lineage tools (e.g., Manta) is an asset
Soft Skills:
Strong documentation and communication skills
Ability to work collaboratively in an agile team environment
Self-motivated with a desire to learn new cloud technologies
Attention to detail with a focus on data quality
Nice to Have
Experience in financial services or risk data
Exposure to AI/ML data preparation concepts
Previous experience at BMO or similar financial institutions
