Quantitative Data Engineer
2 weeks ago
About the Role:
At Principle Partners, we're seeking a highly skilled Data Engineer to join our team in quantitative trading technology recruitment. This is an exciting opportunity for someone with expertise in Python, Pandas, and NumPy to contribute to the development of our data ETL flows.
Key Responsibilities:
- Collaborate closely with quant researchers and traders to onboard new datasets, ensuring seamless integration into our research framework.
- Design and implement efficient data ETL flows using popular tools like MySQL, MongoDB, HDF5, feather, and Parquet.
- Develop robust data quality control jobs and monitoring systems to maintain high-quality data across both production and research environments.
- Contribute to building our back-testing and signal analysis framework.
- Analyze data to identify potential signals and opportunities.
Requirements:
- Possess an advanced degree in Computer Science or Engineering.
- Hold expert-level programming skills in Python, with proficiency in Pandas and NumPy.
- Have extensive experience working with databases such as MySQL, MongoDB.
- Demonstrate expertise in various big data storage formats, including HDF5, feather, and Parquet.
- Showcase knowledge of multi-processing and multi-threading programming techniques.
- Demonstrate strong analytical and troubleshooting skills.
- Exhibit excellent communication skills and ability to work effectively under pressure.
Nice-to-Haves:
- Familiarity with financial and quantitative trading principles.
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