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Designs and implements Microsoft Fabric-based analytics platforms for an insurance client, focusing on lakehouse architecture, automation, and performance tuning for large datasets.
Lead the design and delivery of enterprise-grade data and modeling solutions for Finance, building scalable pipelines, forecasting engines, and semantic layers on cloud data platforms to support FP&A, regulatory reporting, and analytics.
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 lakehouse data pipelines and products for internal and customer analytics at a Montreal-based tech company.
Design and build scalable cloud data pipelines and lakehouse architectures using Microsoft Fabric and Azure, enabling clients to turn raw data into actionable intelligence through end-to-end data engineering.
Build and optimize scalable data pipelines, ML workflows, and AI systems on Databricks using Spark, Delta Lake, MLflow, and Mosaic AI.
Build and optimize scalable data pipelines and lakehouse solutions using Databricks, Apache Spark, and Delta Lake, integrating with downstream systems for real-time and batch data consumption.
Senior Data Engineer builds and maintains scalable data pipelines and lakehouse models to power analytics, AI, and operational decisions for BC Ferries' transportation network using SQL, Python, and PySpark.
Lead the Way to Intelligent Banking with Us! You might not think about what happens behind the scenes when you check your bank balance or deposit a check from your phone, but we do. Every day. Kinective empowers banks…
Разрабатываешь и поддерживаешь BI-решения и потоковые интеграции для ритейла на стеке Trino, Iceberg, Spark, Kafka, ClickHouse и Qlik Sense, обеспечивая аналитику и отчетность для бизнес-заказчиков.
Data & AI Architect Senior technical authority for data and AI across CBRE Pacific Design & Connect technical choices to business strategy Hybrid/Sydney CBD | Land of the Gadigal people The Opportunity: CBRE is…
Build and maintain Azure-based data pipelines and ETL processes using Databricks and Medallion Architecture to feed enterprise reporting and analytics.
Build and maintain scalable data pipelines and storage solutions using Spark, Kafka, and cloud platforms to collect, transform, and deliver reliable data for analytics and business use.
Build and maintain a modern data platform for portfolio managers and quants, including ingestion, ETL, and APIs using Python, SQL, and distributed systems.
Build and own cloud-based data platforms that power fast, reliable energy-grid simulations for governments and investors, using Python and AWS.
Design and build scalable data platforms using Microsoft Fabric and Databricks, owning end-to-end pipelines and mentoring teams on delivery standards.
Designs secure data architectures and governance frameworks for national security clients, integrating cyber, geospatial, and kinetic data to enable faster, informed decision-making.
Build and maintain scalable data pipelines on a Lakehouse stack, implementing Medallion layers with Kafka, dbt, and Airflow to ensure fast, auditable financial data for reporting and governance.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Lead backend engineering teams to build cloud-native, data-driven platforms and APIs for a global credit ratings and financial data provider, using Java/Spring Boot, Python, and AWS.
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