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This role involves building and maintaining automated quality-control frameworks for data pipelines and cloud-based analytics platforms within a financial services environment. The engineer will utilize Python, Selenium, PyTest, Azure Databricks, and Spark SQL to perform data validation and API testing.
The Staff Software Engineer will design and build modular platform components for storing and processing precision health data using Go, Python, and SQL. This role focuses on advancing AI-enabled healthcare solutions within the Precision Health Platform team.
The Senior Cloud Platform Engineer will design, automate, and maintain Azure infrastructure and Databricks platforms. The role involves managing Windows and Linux servers, implementing infrastructure as code with Terraform and Ansible, and developing CI/CD pipelines in a hybrid work environment.
The Azure Platform Engineer will design, deploy, and maintain Azure cloud infrastructure and data platform services. The role involves managing CI/CD pipelines, implementing Infrastructure as Code with Terraform, and administering the Power BI environment.
Own and evolve a contract/procurement/vendor management system built on Microsoft Power Platform at a major Canadian bank—maintaining, upgrading, and delivering new capabilities with an AI dimension using Copilot Studio and AI Builder.
Build and operate the AI platform infrastructure (Terraform/IaC, CI/CD, observability) that enables secure, scalable enterprise deployment of agentic AI solutions using cloud AI services like Amazon Bedrock and Azure AI Foundry.
Leads AI/data strategy and innovation for a financial services firm, advising on AI adoption, roadmaps, and emerging tech to drive business value with SQL/Python.
Build and harden data pipelines that ingest and reconcile heterogeneous energy data sources, and deploy applied AI components (LLM-based document extraction, enrichment, decision support) for a Montreal-based SaaS platform for building decarbonation. Core stack: Python, SQL, cloud data warehouse, LLMs.
The Senior QA Automation Engineer will build and evolve quality-control frameworks for data platforms using Python, Selenium, PyTest, Azure Databricks, and Spark SQL. This role focuses on testing complex data movement and enterprise data validation within a treasury and balance sheet management technology team.
This Senior Software Engineer role focuses on building and maintaining scalable data pipelines, offline experimentation tooling, and route simulation services for Lyft's mapping team. The position involves working with technologies like AWS, Databricks, Kubernetes, and Airflow to improve routing accuracy and travel time estimations.
Designs and maintains a graph-RAG platform’s data architecture, including schema, taxonomy, and ingestion pipelines for enterprise content (e.g., SharePoint) while ensuring scalability, accuracy, and cost efficiency.
Tata Consultancy Services Canada Inc. is seeking a skilled Data Integration Developer to design, develop, and maintain robust data pipelines and infrastructure across our enterprise systems. This role emphasizes data…
Lead a data engineering team at Sanofi, designing and operating scalable data pipelines and platforms using Spark, Kafka, Snowflake, and AWS to support analytics and AI/ML use cases in the commercial business.
The Data & AI Engineer will build and industrialize energy data pipelines and develop AI components for production, focusing on data modeling, quality, and decision support within a decarbonization SaaS platform.
Build and deploy AI systems for Nasdaq Lens, focusing on Python, AI agent frameworks, and AWS while ensuring compliance in regulated environments.
Designs and maintains data structures for a graph-RAG platform, builds pipelines for SharePoint/Microsoft data ingestion, and ensures knowledge graph accuracy while optimizing for cost and scalability.
Design and maintain scalable cloud data pipelines using AWS services like EMR, S3, Redshift, and Airflow, with real-time processing via Kafka and Spark Streaming.
Senior QA Automation Engineer designing and maintaining automated testing frameworks using Selenium, PyTest, and Python to ensure data quality across data pipelines, APIs, and Azure cloud data platforms in a hybrid Toronto role.
Builds AI agents and data pipelines in Python/SQL for RBC’s wealth management systems, collaborating with data and DevOps teams to ensure scalability and reliability.
Lead and mentor a full-stack engineering organization, shaping architecture and delivery across multiple teams while partnering with stakeholders worldwide at a last-mile delivery services company.
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