Top Data Engineer Jobs in Malaysia

The Data Engineer II will collaborate on projects related to customer experience, develop tools for business initiatives, and ensure data security and accuracy.

The Data Engineer will design and implement analytic infrastructures, manage data pipelines, and collaborate with stakeholders to support complex data environments.

Join the Data Solutions team as a Junior Data Scientist, developing technical solutions and enhancing your data skills through collaboration and communication with stakeholders.

The Data Engineer will design and maintain data pipelines, ensure data quality, collaborate with stakeholders, and implement data management best practices within the Azure ecosystem.

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.

As a Data Engineer, you'll manage data at scale, work with analytics-driven solutions, and utilize big data technologies on cloud platforms.

This role involves providing high-quality datasets, designing ETL pipelines, collaborating with teams, and driving innovation in data engineering.

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

As a Data Engineer, you will design data ingestion pipelines, optimize data platforms, lead technical decisions, and collaborate with data scientists and AI engineers on analytics initiatives.

As a Data Engineering Intern, you will support platform capabilities by extending the Python/Go backend for Airflow and Spark, modify applications, and follow best practices for system stability.

The Data Integration Engineer designs and implements scalable data integration solutions and maintains data pipelines while collaborating with cross-functional teams.

Design and develop interactive data visualizations and UI/UX standards, collaborating with data engineering teams to optimize performance and accessibility.

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

Lead the implementation of scalable data quality frameworks while collaborating with engineering teams to ensure data integrity and adherence to governance policies.

The role involves managing and troubleshooting data storage systems, particularly with Dell EMC and Pure Storage technologies, handling disaster recovery, and ensuring storage administration compliance, while being part of a 24x7 on-call support rotation.

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.

Lead Data Engineers mentor junior engineers and deliver advanced data solutions. They cultivate strong client relationships and streamline complex data processing systems.

Responsible for designing, developing, and implementing data pipelines and integration processes, ensuring data quality, and providing BAU support for data issues.

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.

The Senior Data Engineer will provide production support for data platforms, troubleshoot technical issues, and collaborate with a global engineering team on compliance for expanding markets.

Lead the development and optimization of data infrastructure, build scalable data pipelines, and enable analytics workflows. Collaborate with data teams to ensure data quality and integrity.

Join ZALORA's Data Science Team as a Senior Data Engineer, focusing on machine learning, data processing, and working with diverse teams. Requires 7+ years of experience in big data and analysis.

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