Goldman sachs - Data Engineer - Analyst

Job Description 

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Are you looking to apply your quantitative skills while deepening your understanding across a vast array of products? Client Data Engineering is a high-value risk management team under Data Engineering Division and is responsible for the governance programs that ensure critical entities modelling and entity data is accurate, complete, and scalable. This data is a critical input and dependency to most trade and client support functions. Client Data Engineering is comprised of four teams, based in Salt Lake City, Bengaluru, Singapore and Sydney.

How You Will Fulfill York Potential 

• Design & develop modern data management tools to curate our most important data sets, models, and processes, while identifying areas for process automation and further efficiencies
• Contribute to an open-source technology - https://github.com/finos/legend
• Engage with data consumers and producers to design appropriate models to suit enable the business
• Proactively solve data quality issues from both tactical and strategic perspectives
• Proactively work with entity data and external vendors (e.g., GLEIF, Factset, Bloomberg, etc..) to ensure we have the highest quality data in our systems

 

Basic Qualifications 

• 1+ years of relevant work experience in a team-focused environment
• In-depth knowledge of relational and columnar SQL databases, including database design
• Proven experience applying domain driven design to build complex business applications
• Deep understanding of multidimensionality of data, data curation and data quality
• Comfort with Agile operating models (practical experience of Scrum / Kanban)
• General knowledge of business processes, data flows and the quantitative models that generate or consume data
• Excellent communications skills and the ability to work with subject matter experts 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
• Establish trusted partnerships with key contacts and users across business and engineering teams 
• Highly motivated

 

Preferred Qualifications

• Python
• Financial Services industry experience
• Experience with Pure/Legend

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