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Build and maintain scalable data pipelines and warehouses using Azure Synapse, Databricks, and PySpark to power analytics and reporting for a client’s digital products.
Designs and maintains secure, scalable data pipelines on Azure to ingest and transform regulatory data into analytics-ready datasets for compliance and decision-making.
Lead a team to modernize and optimize data pipelines for BMO’s financial platforms, migrating legacy ETL systems to AWS-native solutions while ensuring performance, scalability, and governance.
Builds secure, scalable Azure data pipelines and platforms for government analytics, using Databricks, Synapse, and Python to ensure trusted, compliant data access.
Design and build scalable GCP-based data pipelines and streaming systems for wealth-management clients, using BigQuery, Dataflow, Pub/Sub, and related services.
A data-driven company in Canada is seeking an Engineering Manager to lead a team focused on data ingestion and integration. You'll manage engineering processes, drive best practices in data quality, and collaborate…
Senior Data Engineer builds and maintains ETL pipelines, transforms data in Snowflake, and creates Tableau dashboards to deliver business insights and operational efficiencies.
Build and optimize cloud data pipelines using Python, PySpark, SQL, and Databricks to ingest, transform, and load enterprise data into Snowflake warehouses.
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.
Build and own scalable ETL/ELT pipelines and analytics layers in a modern data stack, transforming raw data into reliable insights for business decisions.
Build and optimize data pipelines in Snowflake and Qlik to modernize Aviva Canada’s claims data ecosystem, enabling advanced analytics and supporting business growth.
Lead a team to modernize and optimize ETL pipelines, migrating legacy Ab Initio systems to AWS-native solutions while ensuring performance, scalability, and governance for financial data platforms.
Build and maintain scalable ETL pipelines and databases for OTC derivatives data, using SQL, Python, Snowflake, and DB2 to support regulatory and business reporting.
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.
Design and maintain scalable data pipelines and ETL/ELT processes using Azure tools to enable analytics and reporting for a government-run cannabis retailer.
Build and maintain scalable data pipelines and microservices in Python/Java to power Autodesk’s generative AI solutions for architecture, engineering, and construction workflows.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Builds and maintains data pipelines and infrastructure to power AI/ML applications, collaborating with data scientists to integrate models into systems.
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