Our client, a reputable global hedge fund, are seeking a talented individual to develop a global and scalable Data Lakehouse solution utilized by various trading desks. This role also involves contributing to the design and implementation of software and infrastructure within the AWS cloud environment.

The role:

• Design and create data pipelines in Python, leveraging data libraries and cloud SDKs.
• Engage in data modeling for the Data Lake and OLAP, handling large volumes of data with high concurrency.
• Enhance the performance of both the data lake and OLAP databases in a multi-region setting.
• Ensure the completeness and quality of data across critical data pipelines.
• Develop and maintain customized data solutions for Quantitative Analysts and Traders.

What you offer:

• Over 4+ years of experience with a proven history of building data platforms.
• Expertise in Python and SQL is essential
• Capability to adopt a structured approach to problem-solving.
• Ability to work independently while being a collaborative team member.
• A strong desire to contribute to cloud infrastructure initiatives.
• A keen intellectual curiosity and a rapid learning ability.
• Experience in the finance sector is highly preferred.

The sell:

• Market leading compensation and benefits
• Opportunity to work with the latest technologies on the market
• Lots of room for career growth in the years to come

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