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Data Engineer / Senior (Hedge Fund) multiple headcounts
We are seeking multiple headcounts for a Data Engineer / Senior for our hedge fund client in Hong Kong office. This role offers a unique opportunity to build and scale our data infrastructure from the ground up.
The ideal Data Engineer must have a strong passion for data architecture and will be hands on in development of robust data systems to support operational and investment decisions.
If you are coming from buy side / financial services / trading environment this role is for you!
Based in Hong Kong (Holding HK PR / working visa / Dependent visa / Top talent visa / IANG visa)
MUST :
Experience in building data pipeline / data system from scratch
Python and AWS (PLUS)
Strong domain knowledge = Market risk
Candidates must have experience / understanding in
ClickHouse
Security master
Financial Data System
Data visualization tools (Tableau, PowerBI)
Machine learning pipelines and advanced analytics.
Bloomberg API or other financial market data sources.
Role :
Design, develop, and deploy scalable data pipelines for a multi-manager trading strategy from scratch.
Manage structured and unstructured data systems from various sources.
Implement data quality measures, monitoring systems, and anomaly detection for ongoing improvement.
Lead data projects and contribute to the strategic development of data engineering capabilities.
Requirements:
A Bachelor’s degree in Computer Science, Engineering, or a related field.
Strong knowledge of data modeling, ETL pipelines, and data warehousing techniques
Programming proficiency in Python, Scala, or Java.
Hands-on experience with SQL and NoSQL databases
Experience with big data tools such as Hadoop, Spark, Kafka
Familiarity with data orchestration tools like Airflow
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