Top Data Engineer Jobs in Singapore

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

Responsible for data business development, data governance, and data platform maintenance in a top cryptocurrency exchange. Requires expertise in Python, big data platforms, SQL, and database management. Strong communication and problem-solving skills.

The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.

As a Lead Data Engineer at Grab, you will oversee the development and enhancement of data warehouse systems, guide a team on ETL jobs and data models, and engage with stakeholders to define technical specifications. Your role involves ensuring best practices, contributing to product discussions, and developing dashboards for system monitoring.

The Senior Data Engineer will create and manage data infrastructure, design data storage and processing solutions, and integrate data platforms with applications. Responsibilities include implementing Big Data tools, developing data ETL solutions, ensuring compliance with data policies, and supporting new technology innovations.

The Senior Data Engineer will focus on data ecosystem management including data quality, governance, and insights creation. Key responsibilities include data source identification, data transformation, and integration using SQL and NoSQL databases, as well as creating data pipelines and utilizing cloud environments. The role requires translating business needs into data-driven solutions and developing business insights to enhance decision-making processes.

The Lead Data Engineer will design, develop, and enhance data warehouse systems, leading a team of data engineers. Responsibilities include system development, collaborating with stakeholders, implementing scalable ETL jobs, and engaging in technical discussions.