Data Engineer

As a Data Engineer with Quant, you will be responsible for collecting, storing, processing, and analyzing vast data sets. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

• Identify data sources, design, and integrate data entities that meet the requirements of the business stakeholders
  
• Diagnose data quality issues and liaise with data source owners to come up with potential preventive or corrective measures
  
• Deploy high-performance algorithms, analytics programs, machine learning models, and statistical methods.
  
• Research opportunities for data acquisition and new uses for existing data.
  
• Implement pipelines using a combination of technologies, including SQL, Airflow, Python, Alteryx, and cloud data tech stack
  
• Integrate new data management technologies and software engineering tools into existing structures.
  
• Build datasets that create data-driven insight, influence operational decision-making, and enable data-driven products and services
  
• Create custom software components and analytics applications.
  
• Employ a variety of languages and tools (e.g. scripting languages) to integrate systems.
  
• Recommend ways to improve data reliability, efficiency, and quality.
  
• Partaking in research and development initiatives to enhance services and products.
  
• Work with your colleagues to build a flexible and scalable platform, both implementation-wise and operationally
  
• Partaking in creating and maintaining comprehensive project documentation.
  
  

Requirements