Senior Data Engineer - Global Hedge Fund - Hong Kong
Summary
A Senior Data Engineer at a global hedge fund in Hong Kong designs, builds, and maintains scalable data pipelines and ETL systems that support analytics and trading strategies. Core technologies are Python, SQL, and AWS services such as S3, Redshift, and Lambda.
Our client, a leading global hedge fund, leverages data-driven strategies to deliver exceptional returns. They are seeking a skilled Senior Data Engineer to join their team and play a key role in optimizing their data infrastructure. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems to support their analytics and trading strategies. Your expertise in Python, SQL, and AWS will be essential for ensuring the efficiency and reliability of their data processing workflows.
The role:
- Design and implement scalable data pipelines to process large datasets.
- Develop and maintain ETL processes using Python and SQL.
- Utilize AWS services to deploy and manage data infrastructure efficiently.
- Ensure data quality, integrity, and security across all systems.
What you offer:
- Bachelors in Computer Science or related discipline.
- Minimum of 3+ years of experience in data engineering or a related field.
- Proficiency in Python and SQL; experience with data modeling is a big plus.
- Familiarity with AWS services (e.g., S3, Redshift, Lambda).
- Strong problem-solving skills and attention to detail.
The sell:
- Competitive salary package (base + bonus)
- Global visibility and the opportunity to work at a buy side institution