Data Engineer

About Mirae Asset Global Investments Group

Mirae Asset Global Investments ("Mirae Asset") is an asset management organization with over US$272 billion in assets under management as of September 2024. The organization provides a diverse range of investment products including mutual funds, exchange traded funds ("ETFs") and alternatives. Operating out of 25 offices worldwide, Mirae Asset has a global team of more than 300+ investment professionals.

Mirae Asset’s global ETF platform features a line-up of more than 601 ETFs that offer investors high quality and cost-efficient exposure to newly emerging investment themes and disruptive technologies in the global markets.

Mirae Asset’s ETFs have combined assets under management of over US$137 billion (As of September 2024) and are listed in Australia, Canada, Colombia, Hong Kong, India, Vietnam, Japan, Korea, EU and the United States.

As a subsidiary of the group, Mirae Asset Global Investments (HK) (https://www.am.miraeasset.com.hk/) is looking for an ambitious individual to join our team.

Key Responsibilities

• Work on task automation and reporting

• Daily ETL responsibilities with processes of combining data from multiple sources into a large and central repository

• Work in an application team to enhance and support in-house built application systems

• Checking that the data for all regulated information is properly updated and protected

• Business analysis to understand the operational needs of each team

• Act as a backup for our Web Developer on maintaining our websites

• Work diligently to ensure the business continuity of our data operations

• Ensure data is properly backed up

Requirements:

• Degree holder in Information Technology / Computer Science / Data Analytics / Data Science

• Experience in asset management industry is preferred

• At least 5 years of experience in programming, database management, or data management

• Well versed in Python, MS SQL, and RESTful API

• Good understanding of system documentation and familiar with SDLC

Knowledge on the followings a strong plus:

• C#

• Amazon Web Services (AWS)

• Web Technologies like PHP, HTML, and CSS

• Proficiency in generating data visualizations

• Skills in AI and Machine Learning