Sr. SQl Developer

This Role

 

The Senior SQL Developer role entails a number of responsibilities helping grow our data platform team. Responsibilities include a number of domains including data engineering, workflow development, data modeling, infrastructure administration and data-driven middle tier development. As an integral member of the team, you will collaborate closely with other engineers, portfolio managers and researchers to identify requirements and build robust internal tools. An ideal candidate should have a well-versed understanding of the broader technical landscape, including new technologies and techniques, that will help shape our data platform’s evolution in the near future.

 

Specific responsibilities are expected to include:

 

  • Building and enhancing existing data infrastructure
  • Transforming and cleaning data retrieved by API end points
  • Working with research and technology teams to provide production support for signal dashboards and processes
  • Use latest architecture trends to help enhance existing and build out new data processes
  • Administration of SQL server

 

The role requires solid engineering principles, SQL administration and development, python knowledge, collaborative spirit, and an analytic orientation.

 

Finding the Right Fit

 

While there is a wide array of unique backgrounds that may be a good fit, experience with corporate credit would be helpful in the role. Exposure to structured credit would be useful, but is by no means required.

 

Beyond the skills and experiences you may have had in your academic and/or professional career to date, the following areas of expertise are fundamental to finding this position with our team a good fit:

 

  • Distinguished analytical, and problem-solving experience
  • Expertise with enterprise scale SQL infrastructure 
  • Strong command of SQL databases
  • Experience with data visualization
  • Hands on experience in process automation including
    • Straight-Through-Processing
    • Extract-Transform-Load
    • Exception driven workflows
    • Process monitoring
  • Experience mentoring junior team members

 

You will likely possess a Bachelor’s or Master’s, in Computer Science, coupled with a minimum of five years’ relevant work experience. If, by chance, you have related work experience as part of a market data engineering team or as part of a trading desk at a leading bank or investment management firm, you are likely an excellent fit.

 

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