Senior Data Engineer

Job Responsibilities:

• Design, build, and maintain the firm's data infrastructure using Python,

Pandas, Apache Airflow and other relevant tools

• Implement ETL processes to collect, clean, and transform data from a

variety of sources

• Collaborate with the researchers to identify and evaluate datasets

potentially useful to the investment process

• Optimize data processing pipelines for performance and scalability using

AWS and other cloud technologies

• Develop data quality controls to ensure data accuracy and integrity
• Work with software engineers to integrate the data infrastructure with

other systems and applications

• Stay up-to-date with the latest developments in data engineering and

contribute to the development of best practices within the firm

Good to have skills

• KX / KDB+ / q experience
• Exposure to the Agile approach and methodology
• Experience or at least interest in machine learning techniques, time series

analysis, and econometrics

• Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN, or other

autoencoders

• Basic understanding of equity markets

Required Skills:

• Eagerness to learn about financial markets and ways to gain an

informational advantage over the competition

• 5+ years of experience in data engineering or a related field
• Strong programming skills in Python and experience working with Pandas
• Experience with AWS or other cloud technologies
• Familiarity with data modeling and database design concepts
• Experience with ETL processes and tools
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work collaboratively in a team

environment