Top Data Engineer Jobs in Malaysia

As a Senior Data Infrastructure Engineer, you'll manage large-scale data platforms, ensuring their performance and scalability while collaborating with development teams and supporting data initiatives.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The Data Analytics Engineer will develop innovative data solutions, collaborate with clients, and utilize data for strategic insights and storytelling, ensuring client success.

The Data Analytics Developer will design and implement data visualization solutions, analyze data requests, and ensure quality data management within a cloud environment.

The Blockchain Data Solutions Engineer role involves working with the Sales team to understand customer needs, translating business cases into data solutions, and guiding customers on querying and integrating onchain data using Dune's products.

The BI Developer/Data Analyst designs and maintains reporting solutions using Power BI and Azure SQL, ensuring data accuracy and compliance for operational insights.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

The Staff Data Engineer will lead efforts in data warehousing, pipeline optimization, product analytics systems, and data quality improvement to support business growth.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

Lead the architecture and development of scalable data pipelines, mentor team members, and align data engineering practices with business objectives in a complex technical environment.

The Data Visualization Engineer designs user-centric dashboards and reporting interfaces, collaborates with stakeholders for requirements, and ensures optimal performance and visual consistency in BI tools.

Lead Data Engineer responsible for designing and maintaining data pipelines, managing data systems on cloud platforms, and providing technical leadership.

Design and implement data visualization and reporting solutions. Analyze business needs, retrieve data using SQL, and utilize tools like Power BI and Tableau to create visual insights.

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

The Senior Data Science Engineer will design systems utilizing data programming and visualization tools to analyze large data volumes and solve complex business problems, requiring substantial machine learning expertise and software development experience.

Facilitate business analysis for data modeling, develop data models, and manage metadata while collaborating with Agile teams. Experienced in data governance and data quality management.

The Senior Data Acquisition Engineer will develop web crawling technologies, enhance data quality, and collaborate on data product development.

The Data Platform Operations Engineer will automate and operate the Enterprise Data Platform ensuring reliability and performance while managing Snowflake and Fivetran resources.

The role involves developing technical requirements, collaborating on KPIs, optimizing SQL queries, managing Tableau environments, and delivering data-driven insights.

Develop and implement a data management strategy, oversee data governance and architecture, ensure compliance, and manage vendor relationships to support organizational goals.

As a Senior Data Engineer, you will enhance finance data systems, manage the Finance Data Warehouse, and collaborate on data quality with various teams.