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Build and maintain secure, scalable ETL pipelines and data warehouses for a multi-tenant fintech platform using Python, SQL, Azure Synapse, and PostgreSQL.
Designs and builds scalable Azure-based data pipelines and cloud-native solutions for a bank, using ADF, Databricks, Synapse, and APIs to enable analytics and AI.
Lead the design, build, and governance of enterprise data pipelines and models using Azure Synapse, Databricks, and SQL, while mentoring teams and ensuring data quality, security, and compliance.
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Senior Data Engineer builds and optimizes Azure-based data pipelines for a NSW government department, reverse-engineering legacy systems and cleaning messy data using Medallion Architecture and Power BI.
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
Lead the design and delivery of enterprise data platforms on Azure, building scalable ETL/ELT pipelines, data models, and analytics solutions for government stakeholders.
Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Builds and maintains Azure-based data pipelines, profiles undocumented datasets, and documents data quality issues for stakeholders using SQL, PySpark, and Power BI.
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.
Builds and maintains enterprise data pipelines and complex SQL views in Azure to support data-driven decisions for a public-sector client.
Build and maintain scalable data pipelines and warehousing solutions in Azure to support Kinetic’s sustainable transport business with trusted, high-quality data.
Build and maintain Azure-based data pipelines, profile undocumented datasets, and deliver clean, documented data for reporting and analytics using PySpark, SQL, and Power BI.
Build and maintain scalable .NET Core/C# APIs and Azure cloud integrations using Logic Apps, Service Bus, and Azure Data Factory for enterprise clients.
Builds and maintains scalable .NET Core/C# APIs and microservices on Microsoft Azure, focusing on cloud-native integrations, data pipelines, and DevOps automation.
Design and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, and Spark, delivering clean datasets for analytics and ML in a cloud-native environment.
Design and lead enterprise-scale Azure data platforms and AI solutions using Fabric, Databricks, Synapse, and Power BI to modernize analytics and enable AI/ML workflows.
Lead the build and governance of Americana’s cloud data platform (Azure Synapse/Fabric), Power BI semantic layer, and AI-ready data foundation across 13 markets and 2,749+ restaurants.
Designs and builds scalable data pipelines on Microsoft Azure, integrating diverse data sources and optimizing analytics platforms using Databricks, Spark, and Azure Data Factory.
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