Software Engineer – Financial Data – Product Data Engineering

The Product Data Engineering team within the Data Engineering organization at Goldman Sachs builds data pipelines to curate reliable, high quality financial product reference data that facilitates and powers business across all divisions of the firm.

HOW YOU WILL FULFILL YOUR POTENTIAL

• Build and Deploy model driven data pipelines and services to curate reliable, high quality financial product reference data.

• Work with Data Engineers to evaluate, select and acquire new internal & external data sets that contribute to business decision making and help meet regulatory requirements.

• Accelerate and contribute to the adoption of the Data Engineering Data Platform and cloud technologies.

• Engage with data consumers and producers in order to design appropriate models to suit all needs.

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

• A Bachelor’s degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)

• Working knowledge of more than one programming language (Python, Java, C++, C#, etc.)

• Extensive knowledge and proven experience applying domain driven design to build complex business applications

• In-depth knowledge of relational and columnar SQL databases, including database design

• Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts

• Independent thinker, willing to engage, challenge or learn

• Ability to stay commercially focused and to always push for quantifiable commercial impact

• Strong work ethic, a sense of ownership and urgency

• Strong analytical and problem solving skills

• Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner

Preferred Qualifications

• Financial Services industry experience