Responsibilities:

• Managing in-flow real-time market data and its API integration from both the 3rd-party data services providers or alternative data source.
• Perform data cleaning by eliminating irrelevant data point; data ingestion and process to the centalised repositary data storage/platform according to the strategic requests from both pre-trade and post-trade business users.
• Design and build the data pipelines, e.g. extract, transform, and launch, for the internal data analytical platform that is capable of processing large volume of queries.
• Work closely with software engineering team to monitor the health of data platform and database storage, and refine the data caching and fetching process timely.

Requirement:

• At least 3 years of hands-on data engineering experience from recognible enterprise environment.
• Bachelor degree in Data Science, Data Analytics, Computer Science, Information Systems, Mathematics, or other relavent disciplines.
• Solid understanding in financial products and their trading cycle mechanisms, such as equity, fixed income, index, derivatives, commodities, etc.
• Expertise in Python for data ETL, automated scripting or general problem solving.
• Sound knowledge in Python framework, e.g. PySpark, Pandas, NumPy, or Hadoop.
• English language skill is a must.

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