Top Data Engineer Jobs in Kuala Lumpur

The Data Engineer will develop and maintain data pipelines using Spark and SQL, collaborating with teams to enhance data quality for analysis and processing.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Data Engineer will design, develop, and optimize big data pipelines using SQL, Python, Spark, Hive, and Hadoop, ensuring data quality and performance.

The Data Engineer will design and maintain scalable data pipelines, optimize data processing, support analytics, and implement data quality processes.

The Big Data Hadoop Developer designs and maintains data processing solutions and optimizes Hadoop-based systems for analytics using tools like Hive, Spark, and SQL databases.

The Data and Automation Engineer will handle data collection, build automated pipelines, develop workflows, and optimize processes with CRM integration.

The Data Engineer will design and develop scalable data solutions, support data initiatives, mentor trainees, and improve processes while collaborating with teams.

The Senior Data Engineer will oversee data initiatives, mentor team members, develop best practices, manage technical solutions, and ensure compliance and team collaboration.

Design and maintain data pipelines, architecture, and quality; lead technical projects and teams, ensuring efficient data management and governance.

As a Senior Data Engineer, you will implement and manage data pipelines, coding efficient data processing systems, and collaborating with teams while ensuring high-quality outcomes.