Top Data Engineer Jobs in Malaysia

The Data Engineer will support NIH operations, managing complex data environments, utilizing SQL, Python, and cloud technologies, with a focus on troubleshooting and team collaboration.

The Data Engineer will develop dashboards, manage datasets, conduct data analysis, ensure data quality, and collaborate with stakeholders.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

The Data Developer will design a scalable data ecosystem, enhance data models, develop ETL pipelines, ensure data quality, and support analytics.

As an Associate Cloud Data Engineer, you will develop and maintain data pipelines in GCP, ensuring data quality and collaboration across teams.

As a Data Developer, you will create reliable ETL processes, design data warehouses, and develop reports while ensuring data quality and security.

The Sr Cloud Data Engineer designs and develops ETL pipelines, manages cloud data architecture in Snowflake, and collaborates with cross-functional teams.

The Principal Data Engineer will bridge data engineering, data science, and business intelligence, building ETL/ELT processes and scalable data pipelines while ensuring data quality and security.

Lead the evolution of data-driven decision-making by building and maintaining data warehousing solutions, automating processes, and collaborating with stakeholders to provide structured data insights.

The Data Engineer will design and automate data pipelines, ensure data reliability, maintain reference datasets, and implement ML workflows within healthcare operations.

The Data Engineer will develop and manage data structures, pipelines, and ETL workflows, collaborate with Data Science teams, and ensure data quality and standards.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

Implement ETL/ELT solutions, design and maintain data pipelines, optimize data processing systems, and collaborate on data security and compliance.

Design, develop, and maintain data pipelines and ETL workflows in Databricks, collaborating with teams to support large data needs in financial services.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Data Engineer will design and build solutions for investment insights using big data technologies, developing data pipelines, and collaborating with cross-functional teams.

The Data Engineer will design and maintain data pipelines, develop data models, ensure data quality, and collaborate with various stakeholders for data solutions.

As a Data Engineer, you'll manage data access, support development and analytics teams, implement automated processes, engineer data pipelines, and ensure data accuracy.

The Data Engineer develops scalable data pipelines, integrates Spark for data processing, and utilizes Power BI for data visualization, supporting analytics and business intelligence.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Data Engineer designs and implements data infrastructure, ETL/ELT processes, manages data pipelines, ensures data quality, and supports data-driven decision making.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

The Data Engineer II designs, develops, and maintains data integration and analytics solutions, ensuring data quality and accessibility for business stakeholders, while collaborating with teams to meet business needs.

The Data Engineer will design, develop, and implement data solutions, ensuring data integrity and availability, collaborating with stakeholders to meet business analytics needs.