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Designs and builds modern data platforms, including data warehouses, lakes, and lakehouses, using tools like Microsoft Fabric and Databricks.
Senior Full Stack Integration Engineer builds and maintains enterprise APIs, microservices, and middleware using Azure .NET, APIM, and MuleSoft, while collaborating on cloud-native integrations and DevOps pipelines.
(What the role is) A hands-on technical role responsible for designing, building, and maintaining the data pipelines and infrastructure that power IMDA's Data Platforms. The role sits at the intersection of data…
Who We Are As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How By taking the time to truly understand people. From…
Ready to drive the future? As part of the global Bertrandt Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex…
Data Analyst focused on strategy and governance, building data catalogs, ensuring quality, and modeling enterprise data assets using T-SQL, Microsoft Fabric, and Power BI.
Senior Solution Engineer at Snowflake designs and demonstrates data platforms, builds AI-powered demos, and guides enterprises on Snowflake’s Data Cloud for analytics and ML.
Univedge Consulting is hiring for one of our direct clients - a global technology consulting leader based in the US. Immediate interviews for the below position. Share your updated resume to apply. We are seeking a…
Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Build and optimize scalable data pipelines using Microsoft Fabric, PySpark, and Delta Lake to power analytics and reporting solutions.
Build and maintain modern data pipelines and cloud-based analytics solutions using Azure services, SQL, and Python for AI-driven projects.
Location: 100% Remote anywhere in Canada Duration: Full‑time Job Description Role Overview We are seeking an Data & AI Engineering Manager to lead high‑impact teams building scalable, customer‑facing data and AI…
Senior Data Engineer builds and optimizes scalable ETL/ELT pipelines in Microsoft Fabric, integrating SAP and other enterprise sources to create standardized, AI-ready data products for analytics and reporting.
Senior Data Engineer to architect and optimize CanCap’s Databricks-based Lakehouse, building scalable ingestion, transformation, and real-time pipelines that power credit adjudication and strategic insights for millions of Canadians.
Design and maintain AWS-based data pipelines and lakehouse architecture for environmental services, processing large datasets to support analytics and business intelligence.
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Builds and maintains AWS Lakehouse infrastructure, ELT pipelines, and data models to power analytics and AI features for trade-contractor software.
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.
Senior Data Engineer building and optimizing lakehouse pipelines and models using Snowflake, dbt, and Databricks to power reliable, reusable data products and internal dashboards.
Lead the rebuild of Orca’s freight-audit data platform using Azure SQL, Fabric, and Data Factory to modernize pipelines and automate reporting for North American clients.
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