- 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 CompanyJoin a global energy leader at our state-of-the-art office in Kuala Lumpur. We are committed to transitioning the world to a lower-carbon future through innovation and technology. Our team in Malaysia serves as a critical hub for global operations, fostering a culture of safety, respect, and excellence.About the JobThis role focuses on modernizing our data landscape. You will be responsible for transforming legacy codebases into clean, effAbout the CompanyJoin a global energy leader at our state-of-the-art office in Kuala Lumpur. We are committed to transitioning the world to a lower-carbon future through innovation and technology. Our team in Malaysia serves as a critical hub for global operations, fostering a culture of safety, respect, and excellence.About the JobThis role focuses on modernizing our data landscape. You will be responsible for transforming legacy codebases into clean, eff
- 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
