Top Data Engineer Jobs in Malaysia

The Data Analytics Developer will design and optimize data pipelines, ensure data quality, and collaborate with cross-functional teams to support decision-making through effective reporting.

As a Principal Data Engineer, you will design and develop data pipelines in a cloud-based environment, mentor junior developers, and improve data solutions for analytics and reporting across the organization.

As a Principal Data Engineer, you will design and build data solutions for analytics and reporting, focusing on ETL pipelines in a Cloud environment while collaborating within an Agile team.

The Principal Data Engineer will design and build data solutions and workflows using a range of technologies. Responsibilities include working collaboratively in an agile team to develop data engineering operations focused on data ingestion, curation, and testing.

As a Guidewire Policy Center Principal Data Engineer, you'll design, develop, and test data solutions in a cloud-based environment, while collaborating within an agile team and mentoring others.

This role involves designing and developing data solutions, pipelines, and workflows in a Cloud environment, focusing on data integration and analytics for business partners.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

The Senior Data Engineer will design and implement technical solutions, engage with Agile teams, utilize big data technologies, and mentor team members while driving innovation within the company.

Lead Data Engineers at Capital One will design, develop, and support data solutions, collaborating with Agile teams and utilizing various technologies.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

Lead the design and execution of data governance strategies, manage projects, ensure data integrity, and drive compliance and automation initiatives.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

As a Senior Data Engineer, you will build and implement technical solutions, working with Agile teams and various data technologies to enhance data-driven decision making.

The Data Engineer will build data pipelines for measuring advertising effectiveness, working with large data sets and collaborating with Data Scientists.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

As a Senior Lead Data Engineer, you'll design, develop, and support solutions, lead teams, and drive cloud-based data transformations.

As a Data Science Platform Engineer, you will build frameworks for predictive models, expand NLP analysis, and develop Java applications, while collaborating with the data science team.

The Data Analytics Engineer II will build and maintain data pipelines, validate data consistency, and ensure user privacy in a healthcare setting.

The Staff Data Engineer will define the technical strategy for enterprise data systems, build and optimize data pipelines, and provide architectural leadership while mentoring teams and ensuring data excellence.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.

The Senior Data Engineer will manage data infrastructure, optimize data pipelines, ensure data quality, and support data-driven decision-making through collaborative work across teams.

As a Cloud Data Engineer, you will develop and maintain data pipelines using Microsoft Azure or Snowflake, collaborating with analysts and architects to ensure efficient data flow and insights. Responsibilities include designing data solutions, ensuring data security, and troubleshooting data workflows.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

As a Data Engineer, you will design and maintain data pipelines, conduct data analyses, and collaborate with teams to derive actionable insights from healthcare data.