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Configure and maintain SAS components on the SAS Viya platform to deploy analytical models, manage artefacts, and ensure reliable scoring workflows for ING's risk and analytical teams.
Build predictive models and analytics to guide lending and risk decisions for Canadian agriculture, using Python, R, SAS, and AWS.
Design, deploy, and manage cloud infrastructure on Azure and AWS, focusing on Kubernetes orchestration, containerization, and automation to support AI/data platforms for global clients.
Maintain and automate SAS Viya environments for ING’s modelling teams, deploying analytical/risk models and troubleshooting platform issues in Azure.
Build and maintain GCP-based Kubernetes environments for an anti-fraud analytics platform, automating CI/CD pipelines and ensuring high availability and security.
Build and maintain credit risk models for a Canadian financial services firm using SAS, R, and Python, while ensuring regulatory compliance.
Lead data-engineering role modernizing a financial analytics platform by migrating SAS to SAS Viya on Kubernetes in the cloud, automating CI/CD pipelines, and ensuring security and performance.
Leads a team of data engineers to design, build, and maintain scalable data models and ETL pipelines for Scotiabank’s Collections division, ensuring high-quality data infrastructure for reporting and analytics.
Build and deploy ML and agentic AI models on Databricks and cloud to personalize banking experiences, improve decisions, and drive operational efficiency in a regulated environment.
Senior Data Engineer builds and maintains ETL pipelines, schedules jobs, and reviews code for robust data solutions in a consulting context.
Build and maintain ETL pipelines, analyze financial data with Python/SQL, and create dashboards in Power BI to support treasury and finance decisions.
Build and maintain clinical data visualization tools using Python, R, and Tibco Spotfire to support clinical trials and healthcare research.
Senior role administering Databricks environments and developing enterprise Python applications to modernize data platforms and migrate legacy workloads.
Build and optimize Python-based data processing pipelines, replacing legacy SAS workflows with pandas, NumPy, and distributed tools like Spark.
Build and optimize both applications and data pipelines using Java, Python, JavaScript, and ETL tools to deliver scalable solutions.
Builds and maintains Python-based ETL pipelines, optimizes data workflows, and performs statistical analysis to extract business insights from large datasets.
Experian is looking for an experienced Analytics Manager – Business Consultin g to help clients turn complex business challenges into high-value, data-driven solutions. This role combines business consulting, analytics…
Build and maintain scalable data pipelines, integrate diverse data sources, and support analytics teams with ETL processes and statistical analysis using Python/R and cloud tools.
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