Data Engineering – Data Design & Curation – Associate

Goldman Sachs


  • Curate, design and catalogue high quality data models to ensure that data is accessible and reliable
  • Build highly scalable data processing frameworks for use across a wide range of datasets and applications
  • Provide data-driven insight and decision-making critical to GS’s business processes, in order to expose data in a scalable and effective manner
  • Understanding existing and potential data sets in both an engineering and business context


  • Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
  • Evaluate, select and acquire new internal & external data sets that contribute to business decision making
  • Engineer streaming data processing pipelines
  • Drive adoption of Cloud technology for data processing and warehousing, and providing scalable and performant solutions
  • Engage with data consumers and producers in order to design appropriate models to suit all needs


  • 2-3 years of relevant work experience in a team-focused environment
  • 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
  • Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
  • In-depth knowledge of relational and columnar SQL databases, including database design
  • 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 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


  • Financial Services industry experience
  • Experience with the Hadoop eco-system (HDFS, Spark)

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