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Build and maintain Azure-based data pipelines and ETL workflows using Data Factory, Databricks, and Synapse for a hybrid on-site role in Markham.
Designs and maintains data pipelines, manages a data lake, and curates datasets to turn raw data into strategic assets for internal and external use.
Designs and maintains data pipelines, manages a data lake, and enriches datasets for internal and external use using SQL, cloud platforms, and ETL tools.
Build and scale Kubernetes infrastructure, automate CI/CD pipelines, and support data platforms for a global payments provider using tools like Terraform, Ansible, and Jenkins.
Build and maintain AWS serverless pipelines: Glue ETL, Lambda integrations, DynamoDB writes, API Gateway endpoints, and CI/CD with CDK and Git.
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 scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
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.
Builds scalable regulatory reporting software in Java/Spring/Kafka/Singlestore, processing millions of financial transactions daily for global compliance.
Senior Associate builds data pipelines and AI-driven tools in Azure to optimize capital projects for PwC’s Real Assets advisory team.
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
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.
Lead a team of data engineers to design and deliver scalable data platforms and pipelines for AI innovation projects, using Azure, Databricks, Spark, and Python.
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.
Build and optimize Azure-based data pipelines, warehouses, and analytics for Global Wealth and Asset Management using Databricks, Synapse, and Power BI.
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Build and maintain scalable data pipelines and warehouses to power Amazon Business’s B2B supply chain analytics and ML models.
Designs and builds scalable data pipelines and lakehouse architectures on Azure/Databricks to power analytics and ML, using ELT/ETL, star/snowflake schemas, and streaming/event-driven patterns.
Build and maintain Azure-based data pipelines, warehouses, and analytics solutions using Data Factory, Power BI, and GenAI to deliver real-time insights for enterprise clients.
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