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Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Builds and maintains scalable data pipelines and infrastructure for a global agri-tech company, integrating IoT and climate data to support analytics and AI-driven solutions.
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
Designs and maintains robust Azure-based data pipelines using Databricks, Fabric, or Delta Lake, modeling data in Datavault or Kimball for secure, high-quality data products.
Build and scale backend infrastructure for Databricks’ data and AI platform, working on distributed systems, cloud storage backends, and scalable services in Scala/Java.
Build and scale Databricks’ backend infrastructure and services, including distributed systems, Kubernetes, and data pipelines, to support millions of cluster-hours daily.
Builds and improves Databricks’ full-stack SaaS products, focusing on modern UI/UX and scalable data/AI infrastructure for enterprise customers.
Builds modern SaaS data/AI tools using React, Node.js, Python, and cloud infra to deliver delightful UX for SQL analytics, workflows, and developer ecosystems.
Builds and maintains scalable data pipelines using Lakehouse/Lakeflow architectures, job orchestration, and ETL/ELT workflows to support analytics and reporting.
Builds and scales Databricks’ core data and AI infrastructure, focusing on distributed systems, log analytics, AI/BI, or app platforms in Vancouver.
About the role We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team! What you’ll do here: Integrate AI solutions tailored to improve the business’s operational…
Build and integrate AI solutions (Python, FastAPI, Angular/React) to improve insurance operations, collaborating with data science and IT teams while owning end-to-end delivery of features and models.
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Designs and optimizes Azure-based data pipelines using Databricks, Delta Lake, and Lakehouse to power analytics and AI workloads.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for banking analytics and AI using PySpark, Delta Lake, and cloud-native tools.
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Senior Data Engineer builds and maintains Azure-based pipelines with Spark, Delta Lake, and Power BI to process and analyze data from Excel, CSV, JSON, APIs, and relational databases.
Designs high-performance data pipelines for financial analytics using Azure Databricks, PySpark, and Delta Lake in a remote Agile team.
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