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Design and build scalable Snowflake data warehouses and ETL pipelines using Talend/Informatica, optimizing data flows and ensuring integrity for analytics and reporting.
Lead a team to design, optimize, and scale self-hosted databases and data pipelines for a major game studio, ensuring performance and compliance while mentoring engineers.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for a fast-growing embedded-payments fintech, enabling analytics and product decisions with Snowflake, DBT, Airflow, and Python.
Build and own scalable ETL/ELT pipelines and analytics layers in a modern data stack, transforming raw data into reliable insights for business decisions.
Designs and maintains cloud-based data pipelines and warehouses for healthcare analytics, ensuring secure, high-quality clinical and operational data for enterprise reporting.
Senior Data Engineer to architect and optimize CanCap’s Databricks-based Lakehouse, building scalable ingestion, transformation, and real-time pipelines that power credit adjudication and strategic insights for millions of Canadians.
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Build and own a reliable analytics data layer using Snowflake, dbt, and Metabase to power business decisions and enable self-serve reporting for a SaaS platform serving the promotional products industry.
Build and maintain data pipelines and ETL processes using PySpark, Airflow, and Databricks to power analytics and customer-focused products for a large retail company.
Lead a team building scalable data pipelines and AI-driven analytics using Python, Spark, and PyTorch to process large-scale datasets for enterprise clients.
Designs and maintains scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and business intelligence workflows.
Build and maintain Azure Synapse-based data pipelines, integrate third-party systems, and design optimized data models for analytics and reporting.
Test and validate ETL pipelines and data transformations on Azure Databricks for a shift-scheduling analytics project, writing SQL-based test scripts and coordinating UAT.
Build and maintain scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to power business insights and decision-making.
Design and maintain AWS-based data pipelines and lakehouse architecture for environmental services, processing large datasets to support analytics and business intelligence.
Senior Data Engineer builds and maintains data pipelines and models in AWS/Snowflake to power analytics and AI use cases for a large Canadian insurer.
Build and maintain data pipelines, models, and ETL jobs in Azure using Python, Delta Lake, and SQL to support banking analytics and reporting.
Design and maintain data pipelines, ETL processes, and cloud-based data solutions to ensure accurate, accessible data for analytics and reporting in an enterprise environment.
Builds and optimizes backend systems and data pipelines for a workforce-planning SaaS product using Node.js, Postgres, and cloud data tools.
Build and optimize data pipelines in Snowflake and Qlik to modernize Aviva Canada’s claims data ecosystem, enabling advanced analytics and supporting business growth.
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