Top Data Engineer Jobs in Malaysia

As a Data Engineer, you will collaborate in an agile team to develop and enhance cloud data warehouse solutions, analyzing complex systems and delivering rapid data solutions for regulatory reporting.

As a Data Engineer, you will design, develop, and enhance data solutions within an Agile team, focusing on cloud data warehousing and innovative data-driven solutions for Small Commercial.

The Data Engineer III will design and implement AI-driven solutions, develop ontologies, lead projects, and mentor team members.

The Data Engineer II will design and build scalable data platforms, manage data pipelines, and ensure data quality while mentoring the team.

The internship involves designing tools and frameworks using Python and SQL, analyzing data, and collaborating with data scientists. Interns will receive mentorship and corporate training.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

As a Data Engineer Intern, you will define metrics, model and transform data, ensure data quality, and support data strategy. You'll collaborate with product teams and work on various data engineering tasks to improve product experience and efficiency.

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

As a Data Engineer Intern, you'll design data pipelines, support scalable infrastructure, collaborate with teams, and contribute to analytics models while learning data engineering best practices.

As a Senior Data Engineer, you will design and implement data solutions, collaborate with teams, and work on big data technologies to drive transformation at Capital One.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

The Senior Supply Chain Master Data Engineer is responsible for maintaining the accuracy of supply chain data, implementing data governance, data audits, and collaborating with teams to improve data quality for analytics and reporting.

The Data Integration Engineer will build and support data integrations, ensure timely and validated data delivery, and troubleshoot issues in a fast-paced environment.

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

The Octopart Application Engineer will analyze data, create dashboards, and provide insights for sales and marketing performance, improving decision-making and revenue growth.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.

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.

As a Senior Data Analytics Engineer, you will design data models, collaborate across teams, improve data infrastructure, mentor others, and lead complex analytics projects to drive business outcomes.

The Senior Data Engineer II will design, build, and maintain a data LakeHouse platform, focusing on data pipelines, modeling, and AWS infrastructure development.