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Senior Data Engineer builds and scales ETL pipelines and cloud-based data architecture to ensure reliable, accessible data for analytics and business intelligence at a SaaS company.
Build and maintain a Databricks-powered data platform using Spark, Delta Lake, and Python to power analytics and AI/ML workflows for a company migrating from AWS-native services.
Build and maintain scalable data pipelines for real-time pricing systems using AWS, Spark, and Airflow, enabling data-driven decisions for a mobility platform.
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and lakes using Azure tools, Python, and Spark to power analytics and reporting for a hybrid team.
Senior Data Engineer builds and optimizes Snowflake data warehouses, migrates legacy systems, and designs ETL pipelines using Talend/Informatica to support analytics and reporting.
Build and optimize scalable data pipelines using Microsoft Fabric, PySpark, and Delta Lake to power analytics and reporting solutions.
Senior Data Engineer designs and builds big-data pipelines and Spark/Java applications to support risk analytics in a fintech firm, optimizing Hadoop/Spark workloads on Cloudera.
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.
Build and optimize BI dashboards in AWS QuickSight and SQL, turning data into actionable insights for business decisions while collaborating with stakeholders.
Designs and implements Test Data Management (TDM) pipelines to provision realistic, secure test data for software validation, using SQL, NoSQL, Informatica IDMC, and Azure cloud tools.
Build and maintain scalable data pipelines on Databricks and Azure to ingest POS, transactional, and operational data, enabling reliable reporting and analytics for a large Canadian restaurant group.
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.
Build and maintain modern data pipelines and cloud-based analytics solutions using Azure services, SQL, and Python for AI-driven projects.
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.
Lead a team of data engineers to design and implement data architecture solutions using Azure, Databricks, SQL, and Python, driving innovation and best practices.
Senior Data Engineer builds and maintains resilient data pipelines and systems for marketing analytics, using SQL, programming, and modern platforms like BigQuery and Dagster.
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…
Designs and maintains ETL pipelines and cloud-based data workflows for EA’s games, using SQL, Python, and cloud tools to deliver analytics that inform game development.
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