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Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Builds and optimizes data pipelines, models, and SQL queries in Azure and Microsoft Fabric to transform raw data into reliable, scalable analytics for business decisions.
Build and maintain scalable data pipelines, warehouses, and semantic models in Microsoft Fabric and Azure Data Factory to power reporting and integrations for nonprofit-focused software.
Builds and maintains scalable data pipelines using Azure Data Factory and Fabric lakehouses, refactors CADS data flows, and ensures secure data processing for a product company.
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and ETL processes in Azure, SQL Server, and Snowflake to power analytics and reporting for a nationwide bank.
Lead the design and operations of RAKBANK’s enterprise data platform using Databricks, Azure Data Factory, and Kafka to power real-time analytics and regulatory reporting.
Build and maintain Azure-based data pipelines using Data Factory, Spark, and Hadoop to enable analytics and reporting for Naviq’s big-data initiatives.
Build and maintain scalable Azure data pipelines and lakehouse architectures to transform raw enterprise data into analytics-ready datasets for BI and decision-making.
Designs and optimizes cloud-based data pipelines on Azure (ADF, Databricks, Synapse) to enable enterprise analytics, ensuring scalability, governance, and performance for large-scale data initiatives.
Builds and maintains Azure-based data pipelines that integrate SAP and other enterprise systems to power real-estate analytics and BI dashboards.
Build and maintain Azure-based data pipelines and big-data workflows using Data Factory, while contributing to front-end components in a Scrum team.
Design and build scalable data pipelines and cloud-native platforms using Python, SQL, Azure Synapse, and Microsoft Fabric for enterprise clients.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Build and deploy cloud-native apps on Azure, automate CI/CD pipelines, and manage data lakes for real-time analytics and energy-trading workflows.
Designs and optimizes scalable data pipelines using Snowflake, Databricks, and Azure Data Factory to drive impactful analytics and innovation for climate-tech projects.
Senior Data Engineer builds and optimizes data pipelines using SQL, Python, Spark, and cloud tools like Azure Data Factory and Databricks to deliver scalable data solutions.
Build and maintain Azure-based data pipelines that integrate SAP S/4HANA with reporting systems, using SQL, ADF, and CI/CD while ensuring data reliability and business support.
Builds cloud-based enterprise apps using Java, REST APIs, Azure Data Factory, and SQL, with exposure to Angular or React front-ends.
Build and maintain scalable data pipelines and infrastructure for public-sector and energy clients, using Spark, Snowflake, Airflow, and cloud platforms.
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