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Designs and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL to enable reliable analytics and AI workflows.
Build and optimize a cloud-based data integration framework that powers a graph data model for industrial supply chains, using PySpark/Scala and Azure/AWS/GCP.
Design and build a modern Lakehouse data platform on Azure using Databricks, Delta Lake, and Spark, migrating from legacy warehouses while coaching teams on best practices.
Design and lead enterprise-scale Data, AI, and Generative AI solutions for Malaysian enterprises and public-sector clients, including cloud-native architectures and MLOps/LLMOps pipelines.
Builds and optimizes scalable data pipelines using Microsoft Fabric, Azure Data Factory, and PySpark to power real-time analytics and reporting for a semiconductor firm.
Build and maintain scalable data platforms and pipelines using Snowflake, DBT Cloud, and Python/SQL to power AI/ML products and analytics for a global building-materials company.
Design and build scalable ETL pipelines, migrate data to Azure, and model databases for a fintech firm using SQL, Python, and Azure services.
In this role as the Senior Data Engineering Executive, you will design, build and operate QL Group’s enterprise data platform on Microsoft Fabric, delivering reliable, high-quality data that powers analytics, AI, and…
Lead the design and maintenance of a scalable, AI-ready data platform using Azure tools, ensuring high-quality data pipelines and models for analytics and machine learning.
Build and maintain scalable data infrastructure and ETL pipelines using Azure tools to support analytics and AI initiatives for IKEA’s retail operations in Malaysia.
Systems Limited APAC is hiring data engineers to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and business intelligence initiatives. Responsibilities: Lead…
Lead a team building scalable data platforms and AI solutions on Microsoft Azure, using Databricks, Python/PySpark, and Power BI to deliver digital products for clients in Northern Europe.
Designs and recommends .NET-based solutions for interoperability and data platforms, guiding teams from pre-sales to production using Azure, DevOps, and microservices.
Position Title: Engineering Manager, Data AI & Analytics Position Type: Regular - Full-Time Requisition ID: 42289 About The Role Reporting to the Director of Platform Engineering, Data AI & Analytics, the Data…
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to ensure data quality and performance.
Design and build Azure Lakehouse architectures with Databricks, ADLS Gen2, Synapse, and Data Factory, and develop scalable ETL/ELT pipelines using Spark and Delta Lake.
Designs and builds data pipelines using Microsoft Fabric, Azure Synapse, and Qlik tools to integrate and transform enterprise data for analytics.
Designs and builds scalable cloud data pipelines on Azure Databricks and Synapse, enabling analytics and AI/ML workloads with PySpark, SQL, and CI/CD.
Designs, deploys and maintains Azure-based infrastructure (VMs, databases, storage, networking) and CI/CD pipelines, ensuring high availability, security and cost efficiency.
Big Data Java developer builds and maintains Azure-based data pipelines, APIs, and infrastructure for an investment bank, using Spark, Kubernetes, and Terraform.
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