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GCP Data Engineer
Designs and builds scalable GCP-based data pipelines and real-time analytics for a healthcare platform, using BigQuery, Kafka, and PySpark.
Lead Data Engineer at RBC
Lead a Toronto-based data engineering team at RBC, building scalable data pipelines with Python, PySpark, and Azure to deliver high-quality analytics products.
Data Engineer
Design and maintain scalable data pipelines using Snowflake, Databricks, Python, and SQL to build ETL/ELT solutions and cloud-native analytics platforms for enterprise reporting.
Data Engineer
Build and maintain scalable data pipelines on AWS and GCP, using dbt, PySpark, and Terraform to support healthcare analytics and EHR integrations.
Data Engineer
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Data Engineer
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Data Engineer
Designs and builds data pipelines in Azure, using PySpark, SQL, and Unity Catalog to ingest, transform, and visualize large datasets for analytics and reporting.
Data Engineer
Convert legacy SAS code to PySpark/SQL, migrate DB2 data to cloud lakes, and build automated testing pipelines on Databricks.
Data Engineer
Build and optimize data pipelines using Python, PySpark, and HBase to power analytics and rule-based systems for a fintech-focused software team.
Data Engineer
Builds and optimizes Python-based data pipelines using Spark, PySpark, and HBase to process and transform large datasets for backend services and APIs.
Senior Data Engineer, GFT
Build and maintain scalable data pipelines, feature stores, and MLOps workflows to support AI-driven credit underwriting at a major bank.
Senior Data Engineer
Senior Data Engineer builds and maintains Snowflake/dbt lakehouse pipelines and data products that power analytics and customer-facing dashboards at a global subscription-commerce platform.
Senior Data Engineer - Spark, PySpark & Big Data Architect
Designs and builds scalable data pipelines using Spark, PySpark, HDFS and SQL to process large datasets for analytics and business insights.
Data Engineer
Builds and maintains ETL pipelines and data workflows using Python, Databricks, and Snowflake for a banking client in a hybrid Agile environment.
Mid-Senior Azure Data Engineer Ontario
Build and maintain Azure-based data pipelines using Databricks, Delta Lake, and PySpark to process and transform large datasets for analytics and reporting.
Data engineer
Freelance data engineer builds and maintains data pipelines using Python, PySpark, SQL, NoSQL, and cloud platforms for clients, often on-site or hybrid.
AWS Data Engineer: Scale Data Lakes with PySpark & ETL
Design and maintain scalable AWS data pipelines using PySpark, SQL, and Terraform to build and optimize data lakes and lakehouse architectures.
Senior Specialist, Data Scientist
Design and deploy AI/ML models and MLOps pipelines to improve healthcare and insurance outcomes, collaborating with cross-functional teams and ensuring responsible AI practices.
Lead Data and AI Solution Engineer
Lead the design and delivery of GenAI solutions for insurance, including vector databases, RAG pipelines, and LLM fine-tuning to enable context-aware AI across structured and unstructured data.
Data Engineer (AWS) - Build Scalable PySpark Pipelines
Build and maintain scalable PySpark data pipelines on AWS using Glue, Lambda, and Step Functions, with Terraform for IaC and CI/CD for deployment.