Highly Skilled Data Engineer for Equity Corporate Actions

2 weeks ago


Hong Kong, Central and Western District, Hong Kong SAR China Bloomberg Full time

Bloomberg is a leading financial data and news company that provides powerful information to its clients around the clock. Our products are fueled by high-quality data, which we deliver quickly and accurately through innovative technology.

As a key member of our team, you will be responsible for acquiring and maintaining the full life-cycle of Equity Corporate Actions data, including corporate actions, IPOs, and M&A. This requires deep domain knowledge, thoughtful automation, and data management expertise to create a comprehensive client experience across our product offerings.

We are looking for a highly motivated individual with a passion for finance, data, and technology to increase value from our data product. In this role, you will develop strategies to optimize the value of Equity Corporate Actions data for our clients and improve data operations. You will dive deep into complex datasets, understand data requirements, specify modeling needs, use existing tech stack components, and implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches.

The ideal candidate will have 4+ years of experience working with Python, SQL, and/or NoSQL, as well as proven experience in data management and building ETL pipelines. They should also be proficient in using technologies such as Amazon S3, Lambda function, Kafka, and Apache Airflow in a production environment. Exceptional problem-solving skills, numerical proficiency, and high attention to detail are essential. The ability to work independently and in a distributed team environment, as well as optimal communication and presentation skills, are also required.

Salary: $150,000 - $200,000 per year, depending on location and experience.

This is a unique opportunity to work with cutting-edge technology and contribute to the success of a leading financial data and news company. If you are passionate about data and technology, we encourage you to apply.



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