- about the companyBased in Kuala Lumpur with a distributed team , this organization focuses on high-performance data infrastructure and engineering excellence. They leverage a sophisticated stack centered on Databricks and Apache Spark to transform raw data into actionable intelligence. about the jobThis Data Engineer role, based in Kuala Lumpur with a distributed team , focuses on leading the design and evolution of high-performance data infrastructure. Yoabout the companyBased in Kuala Lumpur with a distributed team , this organization focuses on high-performance data infrastructure and engineering excellence. They leverage a sophisticated stack centered on Databricks and Apache Spark to transform raw data into actionable intelligence. about the jobThis Data Engineer role, based in Kuala Lumpur with a distributed team , focuses on leading the design and evolution of high-performance data infrastructure. Yo
- about the companyWe are collaborating with a leading Global Logistics Technology platform dedicated to transforming how goods are moved across international borders. With a focus on scale and innovation, we manage high-volume operations while maintaining a deep commitment to user privacy and international compliance standards. Our technology team is the backbone of our global presence, ensuring that our logistics network remains efficient, secure, and dataabout the companyWe are collaborating with a leading Global Logistics Technology platform dedicated to transforming how goods are moved across international borders. With a focus on scale and innovation, we manage high-volume operations while maintaining a deep commitment to user privacy and international compliance standards. Our technology team is the backbone of our global presence, ensuring that our logistics network remains efficient, secure, and data
- 1. AI-Driven Data IntegrationModern Pipelines: Architect and deploy ingestion pipelines using Azure, Microsoft Fabric, and OneLake to handle any data type (APIs to streams).Code-Accelerated Dev: Use PySpark, SparkSQL, and .NET alongside AI models to build resilient, automated data lifecycles.Governance: Set the gold standard for data engineering best practices and governance from day one.2. Architecture & ModellingMedallion Logic: Design scalable data arch1. AI-Driven Data IntegrationModern Pipelines: Architect and deploy ingestion pipelines using Azure, Microsoft Fabric, and OneLake to handle any data type (APIs to streams).Code-Accelerated Dev: Use PySpark, SparkSQL, and .NET alongside AI models to build resilient, automated data lifecycles.Governance: Set the gold standard for data engineering best practices and governance from day one.2. Architecture & ModellingMedallion Logic: Design scalable data arch
