9 jobs found for Big data in Toronto, Ontario

As a Risk Analyst Expert, you will play a pivotal role in developing and maintaining sophisticated risk applications designed to estimate Profits & Losses (P&Ls). Working within a strategic Big Data ecosystem, you will translate complex quantitative methodologies into scalable technical solutions. This role is ideal for a "delivery-focused" individual who can navigate the intersection of Market Risk, Python development, and emerging AI technologies to driv

On behalf of our premier client in the financial services sector, we are seeking a highly skilled Senior Quant Developer to join their Risk Analytics team. In this role, you will be at the intersection of quantitative finance and cutting-edge technology, responsible for building and maintaining sophisticated risk applications that estimate Profit & Loss (P&L).This is a high-impact position within a strategic Big Data environment where you will translate co

We are seeking a highly accomplished Intermediate Audit Data Analytical Specialist/Scientist to lead the data analytics function within the Audit Regulatory Compliance and Control (ARCC) department. In this role, you will take technical ownership of organizing, analyzing, and presenting insights on complex corporate datasets within an internal audit framework. Operating in accordance with the Institute of Internal Auditors (IIA) standards, you will build r

We are seeking a highly accomplished Senior Data Science Developer to spearhead the technical design, architectural optimization, and migration of enterprise cloud data products. In this role, you will hold complete engineering ownership over the evolution of data lake and lakehouse structures—transitioning legacy transactional pathways into highly scalable, automated pipelines. Operating within an Agile environment, you will bridge the gap between advance

We are seeking a highly accomplished and technical Senior Data Engineer for an enterprise-level contract opportunity based in Toronto. In this role, you will take on a premier engineering capacity within the enterprise data and analytics streams, specializing in the architectural design, modeling, and construction of modern cloud data warehouses, data lakes, and business intelligence pipelines.As a principal data authority, you will bridge the gap between

We are seeking a highly skilled Senior Data Engineer for an extensive 35-month contract to lead the design and evolution of enterprise-level data architectures. In this role, you will be responsible for modeling, developing, and maintaining a robust Enterprise Data Warehouse (EDW), data lakes, and data marts. You will play a critical role in building analytics-ready datasets and business intelligence solutions that drive data-informed decision-making for a

We are seeking a highly specialized Senior Data Engineer for a high-impact, 35-month assignment in Toronto. This role is responsible for the foundational architecture and modernization of the enterprise data ecosystem, including the design and maintenance of the Enterprise Data Warehouse (EDW), data lakes, and data marts. You will lead the development of end-to-end data pipelines and build high-performance, analytics-ready datasets using the latest Azure c

Our client, is seeking a high-caliber, Bus Systems Analyst V to join their Enterprise Capital Markets and Treasury Technology group.In this senior technical leadership role, you will act as the principal bridge between executive Treasury business pillars and core engineering teams. Your mandate is to lead the planning, elicitation, analysis, and architectural mapping of complex requirements for enterprise Asset Liability Management (ALM), Funds Transfer Pr

Our client, is seeking a deeply experienced, senior-level Senior Data Engineer to join their Enterprise Cloud Data Platform division.In this advanced technical role, you will serve as a subject matter expert and key contributor responsible for developing, maintaining, and scaling enterprise-grade data engineering solutions. You will focus heavily on designing and operationalizing high-performing, reliable, and secure data pipelines within a complex cloud e