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Build and maintain scalable data pipelines and cloud-based analytics infrastructure to support data-driven decisions in the energy sector.
Build and maintain CI/CD pipelines, infrastructure-as-code, and AI-assisted engineering workflows for a robotics data platform, improving reliability and developer productivity.
Senior Data Engineer at BC Ferries builds scalable cloud data pipelines and enterprise data products to transform raw data into secure, reliable insights for operations and strategic planning.
Designs and builds scalable Snowflake-based data pipelines and warehouses using dbt, SQL, and AWS, ensuring high-performance analytics for clients.
Lead a small team to build and maintain data pipelines, integrate marketing platforms, and translate data into actionable insights for Zenni’s ecommerce growth.
Designs and builds scalable Snowflake-based data pipelines and architectures using Python, SQL, and cloud tools, optimizing performance and cost.
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks, designing production pipelines and reusable data products that power analytics, AI, and customer-facing dashboards.
Build and optimize large-scale data pipelines and real-time dashboards using Java, Scala, Python, and GCP tools to support analytics and reporting for a retail-focused product team.
Designs and builds Azure-based data pipelines and models, turning business needs into scalable, analytics-ready data products for BI and reporting.
Build and optimize lakehouse data pipelines and products for internal and customer analytics at a Montreal-based tech company.
Build and own Flinks’ data and ML platform: BigQuery, dbt, Airflow, Pub/Sub, Kubeflow, Vertex AI, and FastAPI to turn models into production-grade services.
Builds and maintains Power BI dashboards and SQL-based reporting pipelines for a veterinary services company, using Azure data tools and on-prem SQL Server.
Owns internal PaaS and data platforms that power Sardine’s real-time fraud and AML risk engine, ensuring 99.99% availability, optimizing GCP costs, and enabling AI/ML pipelines.
Build data analytics pipelines and ML tooling using Python and Kubernetes to support AI/ML services and cloud infrastructure at an open-source software company.
Designs and optimizes scalable data pipelines and platforms for a healthcare tech company, mentoring engineers and driving technical direction.
Lead Faire’s Core Data Infrastructure team to build data models and pipelines that inform product decisions, using SQL, Python/Java, and BI tools like Looker to drive insights for SMB-focused ecommerce growth.
Build and maintain a privacy-focused data platform in Snowflake using dbt and Dagster, enabling accurate KPI tracking and analytics for a digital banking business.
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
Design and maintain scalable data pipelines and warehouses to feed analytics and ML, using Python, SQL, cloud platforms (AWS/Azure), and ETL tools.
Senior Data Engineer builds and maintains scalable data pipelines and ETL processes to support analytics and business intelligence for a public safety authority.
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