Search the 7 jobs at CMG (Capital Markets Gateway)

As a Data Engineer, you will build and maintain scalable data pipelines and architecture, loading diverse data sets from market sources and transforming them into usable products. You will contribute to the design of data systems and advance data engineering practices to ensure data quality and efficient processing.

The Data Engineer will build and maintain scalable data pipelines and architecture, handle diverse data sets, and advance engineering practices to support large volumes of data within the investment finance sector.

The Customer Engineer will develop expert knowledge of the CMG platform to handle client inquiries, provide insights on client pain points, and enhance user experience, all while collaborating with sales, product management, and engineering teams to drive customer satisfaction.

The Customer Engineer will develop deep knowledge of the CMG platform to support client inquiries and improve user experience. Responsibilities include handling customer support via multiple channels, diagnosing issues, providing API support, creating onboarding materials, documenting support issues, and driving customer satisfaction.

The Customer Engineer will support CMG's clients by developing a deep understanding of the CMG platform, addressing client inquiries, providing solutions and insights, and enhancing user experience. Responsibilities include handling customer support through various channels, resolving issues, creating onboarding materials, and collaborating with internal teams to influence product direction.

The Customer Engineer will develop expertise in the CMG platform to handle various client inquiries, enhance user experience, provide API support, and create onboarding materials. They will collaborate with internal teams to influence product direction and ensure high customer satisfaction through various communication channels.

As a Data Engineer, you will build and maintain scalable data pipelines, explore various data sets, transform and integrate data, contribute to data architecture development, and advance data engineering practices for a financial technology firm.