Top Data Engineer Jobs in Malaysia

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Data Engineer, you'll design and maintain data pipelines, ensuring data integrity while optimizing performance and collaborating with teams to deliver data-driven solutions.

As a Senior Data Engineer, you'll develop ETL pipelines, optimize API integrations, and architect data models to support Proscia's Real World Data initiatives in healthcare.

The Data Engineer will build scalable data pipelines, ensure data quality, and collaborate with teams for analytics and ML products.

Lead the design and implementation of a modern data architecture, manage ETL pipelines, ensure data quality, and collaborate with cross-functional teams.

As a Software Engineer on the Data Engineering team, you'll develop and maintain systems for managing data, build pipelines and mentor junior engineers while collaborating across departments.

The Sr. Data Engineer will design and maintain data pipelines, optimize data jobs, and collaborate with teams to build scalable data solutions using AWS services.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

Develop data pipelines and tools supporting analytics and machine learning, collaborating across departments to improve data access and governance, while leading ETL processes and mentoring junior team members.

The Principal ML Engineer will build scalable machine learning models, develop web applications, and provide consulting services to drive data-driven decisions.

The role involves developing and maintaining enterprise data pipelines, collaborating with various business units, and ensuring data quality and security standards.

Design and maintain technical infrastructure for data analysis, collaborate with stakeholders, and develop data visualization tools.

The Staff Data Engineer will develop and maintain data processing pipelines, support marketing operations, and mentor junior engineers while ensuring data quality and accessibility.

Design and implement scalable data systems, define core schemas, build data pipelines, and collaborate with data teams.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

Design, build, and maintain data pipelines while ensuring data quality and collaboration with data teams. Troubleshoot issues and improve performance.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

Join Recorded Future's Talent Network as a Data Engineer, focusing on Python, ETL pipelines, and web scraping. Stay updated for future opportunities.

Design and optimize ETL/ELT pipelines, manage data platforms, ensure data quality, mentor junior engineers, and collaborate with stakeholders.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.