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Amazon Machine Learning Engineer, AICE - AI Center of Excellence
Build and harden reusable AI/ML primitives for Amazon’s enterprise systems, from experimentation to production deployment, collaborating with product teams to integrate and scale AI capabilities.
Data Analyst / Data Scientist
Analyze data to extract insights, automate workflows, and support business decisions using SQL, R, and statistical modeling for a product-focused company.
Senior Data Engineer I
Build and maintain Sun Life’s data pipelines and warehouses, ensuring reliable data for analytics, marketing, and business insights using AWS, Snowflake, Python, and PySpark.
Senior Data Engineer I
Senior Data Engineer builds and optimizes data pipelines and warehouses for marketing analytics at a large Canadian insurer, using AWS, Snowflake, PySpark, and SQL.
Senior Data Engineer I
Build and maintain Sun Life’s data pipelines and warehouses to power marketing campaigns and business insights using AWS, Python, PySpark, SQL, and Snowflake.
Software Engineer, ML Infrastructure
Build and maintain petabyte-scale ML infrastructure for robotics autonomy, including data pipelines, search, annotation integrations, and vector databases to power large-scale delivery fleets.
Lead Data Engineer / Data Platform Lead
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Staff, Data Engineer (Global Security)
Design and optimize scalable ETL/ELT pipelines in Snowflake, automate workflows with Python/Airflow, and enforce data governance for analytics and AI at a major bank.
Lead Data Engineer, (Global Security)
Lead a team of data engineers to build and maintain scalable data pipelines and analytics platforms for RBC Global Security, using PySpark, Databricks, Delta Lake, and Azure.
Associate Director, Principal Data Engineer
Design and deliver large-scale data pipelines and ML workflows on Databricks for RBC Capital Markets, using Spark, Delta Lake, and MLflow to power financial systems.
Staff Data/AI Engineer
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
Lead Data Engineer / Data Platform Lead
Lead a data engineering team to build and scale enterprise data platforms, enabling analytics and GenAI workflows with Python, PySpark, and cloud tools like Azure/AWS and Databricks.
Lead Data Engineer, (Global Security)
Lead a team of data engineers to build scalable pipelines (PySpark, Databricks, Delta Lake) that turn security data into actionable intelligence for enterprise decision-making.
Head of HR Data Engineering
Leads HR data engineering at BMO, designing scalable data models and pipelines to power people analytics, Workday integrations, and secure employee-data infrastructure.
Staff, Data Engineer (Global Security)
Build and optimize scalable ETL/ELT pipelines in Snowflake, automate workflows with Python/Airflow, and enforce data governance for analytics and AI at a major bank.
Snowflake Lead Data Engineer
Lead a team to design and build RBC’s Snowflake-based cloud data lakehouse, owning pipelines, performance tuning, and data quality while collaborating with architects and business stakeholders.
Senior Data Engineer
Build and maintain a finance data platform using Airflow, Databricks, Spark, and SQL to ingest, enrich, and reconcile financial datasets for analytics and reporting.
Data Scientist / Data Engineer
Build and validate data pipelines for AML monitoring during a bank’s migration from SAS to Oracle, using Python, SQL, and statistical analysis to ensure data quality and compliance.
Data Scientist / Data Engineer
Build and validate Oracle-based AML transaction monitoring systems for a top-10 Canadian bank, focusing on data engineering, SQL/Python pipelines, and statistical segmentation while migrating from legacy SAS tools.
Data Engineer
Designs and builds scalable data pipelines in Python, PySpark, and SQL to extract, transform, and load large datasets for analytics and ML, using cloud platforms like Azure/AWS and tools such as Airflow and Databricks.