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Build and maintain scalable data pipelines and cloud-based data platforms using Microsoft technologies to support analytics and AI initiatives.
Build and maintain the firm’s Microsoft Fabric-based data platform, creating scalable pipelines and models to power analytics and AI tools across the legal practice.
Build and maintain scalable data pipelines and warehouses for a financial org using SSIS, WhereScape, and Microsoft BI stack.
Build and maintain data pipelines and models in Snowflake, integrating dealer systems, ecommerce, and marketing platforms to create analytics-ready datasets and support AI initiatives.
Build and maintain secure data pipelines in Microsoft Fabric/Azure, curate trusted datasets for analytics, and implement governance and quality controls for an enterprise data platform.
Build and maintain data pipelines to ingest lab, production, and simulation data into a cloud-based data platform, ensuring reliability and observability for Samsara Eco’s Industrial AI Platform.
Leads the build and operation of a cloud-native data and AI platform for a national healthcare provider, integrating real-time analytics, generative AI, and IoT to improve patient care and operations.
Lead engineering strategy for data and AI platforms at REA Group, designing scalable architectures and aligning technical roadmaps with business goals.
Build and maintain data pipelines, lakehouse/warehouse structures, and semantic models on Microsoft Fabric to ingest and transform data from ERP systems, APIs, and IoT platforms for reporting and analytics.
Builds and maintains Azure-based data pipelines, profiles undocumented datasets, and documents data quality issues for stakeholders using SQL, PySpark, and Power BI.
Build and maintain secure, production-ready data pipelines and integrations to expand data usage across the organization.
Design and maintain AI-ready data pipelines, lakehouse structures, and semantic models on Microsoft Fabric for a leading fresh-produce company.
Build and maintain ETL/ELT pipelines that feed Shopify, ERP, CRM and logistics data into a BI environment, ensuring reliable reporting and analytics for an ecommerce business.
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Designs and maintains data pipelines and integrations to feed analytics and AI at a residential construction firm, using Microsoft SQL Server and vendor APIs.
Build and maintain scalable data pipelines and AI-driven workflows to power ad revenue and insights for Australia’s largest media company.
Design and build scalable data pipelines and solutions using Python, SQL, Spark, and cloud platforms to power Westpac’s enterprise-wide transformation and AI-driven innovation.
Senior Data Engineer designs and builds scalable data pipelines, ETL workflows, and data lakehouse solutions using PySpark, Databricks, and Azure/AWS tools to deliver business insights for Toyota’s mobility operations.
Senior Data Engineer builds and maintains cloud-based data pipelines and models using Snowflake, dbt, and AWS to enable analytics and automation for a national glass services company.
Build and maintain data pipelines to process, transform, and integrate data for reliable insights and reporting.
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