Senior Data Engineer

Description

Tasks:

• Gain a comprehensive understanding of investment research teams' data needs and provide the right solution to them
• Develop, test, and optimize Python data applications, frameworks, and services
• Collaborate with technologists and researchers to align data applications and platforms with evolving business needs
• Write and review technical documentation, including requirements for researchers and proposals for platform enhancements, as well as production support guidelines
• Frequently take the lead on production support operations

Must-have:

• Bachelor’s in a technology-related field (e.g., Engineering, Computer Science, etc.)
• Strong skills in programming in Python in a Data Engineering context
• Experience as a project manager on data projects 
• Proficiency in Relational database engineering and NoSQL database engineering
• Strong analytic and strategic thinking skills

Nice-to-have:

• Experience with any of the following systems/tools: Apache Airflow, Docker, Kubernetes

Interview process:

1. Intro call with Toughbyte
2. Interview with Quant Developer
3. Technical Assessment (online)
4. Interview with the Head of Trading
5. Interview with the Technology Associate
6. Interview with the Data Engineer