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Build and optimize scalable data pipelines and cloud-native apps using Snowflake, Databricks, Python and SQL to power reporting, analytics and operational processes for financial clients.
Build and maintain Azure cloud infrastructure using Terraform and Azure DevOps to automate deployments and CI/CD pipelines for client applications.
Designs and maintains cloud-based ETL pipelines and SQL data marts using Azure Data Factory, Synapse, Databricks, and T-SQL to process large financial datasets.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Build and maintain Azure-based data pipelines and ETL workflows using Data Factory, Databricks, and Synapse for a hybrid on-site role in Markham.
Senior Data Engineer builds and maintains cloud data pipelines using Microsoft Fabric and Azure to power analytics and compliance for a Canadian credit-union network.
Design and build scalable Snowflake-based data pipelines, migrate ETL workloads from Informatica, and integrate GenAI features to power analytics and automation for enterprise clients.
Design and build scalable data pipelines and modern data platforms on Azure for enterprise clients, focusing on ETL/ELT, data modeling, and analytics to support AI and business intelligence initiatives.
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.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Senior Associate builds data pipelines and AI-driven tools in Azure to optimize capital projects for PwC’s Real Assets advisory team.
Senior Data Engineer designs and executes Azure-based ETL pipelines and database migrations, moving sensitive data to Azure SQL Database using Azure Data Factory.
Build and maintain the data pipelines and tooling that feed AI/ML services for a cloud-based healthcare platform, enabling model development, deployment, and monitoring at scale.
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.
Lead a team to design and maintain Azure-based data pipelines using ADF, Databricks, and PySpark, ensuring scalable ETL/ELT and robust data governance for analytics and AI teams.
Design and maintain scalable data pipelines using Python, SQL, Databricks, Snowflake, and cloud tools; lead a team of data engineers to deliver AI-driven marketing solutions.
Designs and builds scalable Azure-based data pipelines and analytics solutions using Databricks, Data Factory, and Java/Python microservices.
Build and optimize scalable data pipelines and lakehouse architectures using Microsoft Fabric, Databricks, and Snowflake while consulting with clients to deliver data-driven solutions.
Senior Data Engineer builds and optimizes Azure-based data pipelines for analytics, mentors teams, and designs scalable solutions to meet business needs in a large financial services company.
Build and optimize data pipelines using Snowflake, Databricks, Python, and SQL to deliver scalable analytics solutions for financial clients.
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