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Data Engineer I
Build and maintain secure, high-performance ETL pipelines on Azure Databricks and Data Factory that ingest financial data, shape it into trusted assets, and expose curated products for analytics and AI across TD Bank.
Intermediate Data Engineer
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Data Engineer, Investments
Design and maintain scalable data pipelines on GCP (BigQuery, Dataproc, Cloud Run) to support analytics and AI use cases in a fintech environment.
Senior Data Engineer - (Python/Spark/SQL)
Build and scale resilient data pipelines and analytics platforms using Python, Spark, and SQL to support high-volume reporting and data-driven decisions for enterprise clients.
Senior Analyst (Data Engineer)
Build and maintain secure, scalable data pipelines in Azure Synapse/Fabric using Python, Spark, and DevOps to ingest, transform, and validate financial datasets for regulatory reporting.
Senior Java Developer
Builds scalable regulatory reporting software in Java/Spring/Kafka/Singlestore, processing millions of financial transactions daily for global compliance.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Senior Platform Lead – Data Pipeline & Big Data Architect
Designs and maintains scalable data pipelines and big-data infrastructure using Hadoop, Spark, Java, and Spring in a hybrid environment.
GCP Data Engineer: Spark, Python & BigQuery Expert
Designs and maintains GCP data pipelines using Spark Serverless, Python, and BigQuery for an IT services provider.
Data Infrastructure Software Engineer Role
Build and maintain high-performance data infrastructure for AI workloads, handling petabyte-scale storage and processing with distributed frameworks like Spark and Kubernetes.
Jr.Gen AI Engineer
Build and deploy agentic AI applications, RAG systems, and AI agents using Python, LLMs, and Google Cloud tools like Vertex AI and Databricks.
Data Engineer / Data Architect & Software Developer — Azure / Databricks
Build and scale a cloud data platform for Ontario’s energy sector using Azure, Databricks, and Python/SQL to design pipelines, models, and AI apps within a governed enterprise environment.
Data Engineer
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Data Scientist - AI/ML
Build and deploy AI/ML models, especially LLMs, to extract insights from unstructured documents for Scotiabank’s business lines using Python, prompt engineering, and big-data tools.
Principal Data Engineer – Databricks
Principal Data Engineer designs and migrates enterprise data platforms to Databricks, building scalable Lakehouse architectures, PySpark pipelines, and finance-focused data models for reporting and risk analytics.
Data Designer
Designs and maintains scalable data pipelines, models, and warehouses to support analytics and product decisions using SQL, Spark, Kafka, and related tools.
Python Data & Machine Learning Engineer
Build and deploy Python-based data pipelines and ML models for financial services, using Spark, TensorFlow, and SQL to analyze risk and support decision-making.
Staff Machine Learning Engineer - Edge AI
Lead AI product initiatives for Edge devices, optimizing ML models for petabyte-scale sensor and video data to improve physical operations like safety and efficiency.
Data Engineer - EA Sports FC
Design and build scalable data pipelines and models for EA SPORTS FC, enabling analytics and AI-driven insights that power the world’s top-selling sports game franchise.