Top Data Engineer Jobs in Kuala Lumpur

As a Data Engineer, you'll implement data processing systems using tools like Spark and Hadoop, manage high volume data, and collaborate to provide insights.

The Web Scraper / Data Engineer will build and maintain automated data pipelines, collect and clean data from various online platforms, and integrate it with backend systems.

Design, build, and optimize data pipelines using Azure and Microsoft Fabric. Collaborate with stakeholders for data transformation and governance solutions.

The Senior Data Engineer will design and build scalable ETL/ELT solutions using Databricks and Azure. Responsibilities include optimizing data pipelines, implementing Lakehouse architecture, data quality checks, and leading technical guidance for the team.

Design and maintain data pipelines, architecture, and quality; lead technical projects and teams, ensuring efficient data management and governance.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

Design and develop Hadoop-based big data solutions, optimize data processing, and collaborate with analytics teams while ensuring data security and compliance.

As a Senior Data Engineer, you'll implement data pipeline solutions, manage high-volume data, and collaborate with teams to tackle complex data challenges.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

As a Senior Data Engineer, you will build and deploy data pipelines, configure Quantexa software, and manage high-volume data for clients across sectors like banking and healthcare.