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Goldman Sachs Software Engineer Associate - Core Data Platform 
United States, Texas, Dallas 
849139195

Yesterday


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 -
  • Drive adoption of cloud technology for data processing and warehousing
  • Engage with data consumers and producers in order to design appropriate models to suit enable the business

: Java, Python, AWS, React


Basic Qualifications

  • A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
  • 2-7+ years of relevant work experience in a team-focused environment
  • 2-7+ years of experience in distributed system design
  • 2-7+ years of experience using Java, Python, and/or React
  • 2-7+ years of experience or interest in functional programming languages
  • Strong object-oriented design and programming skills and experience in OO languages (Java)
  • Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform, CloudFormation, or ARM templates).
  • 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
  • Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning)
  • Experience in REST and/or GraphQL
  • Experience in creatingSpark jobs for data transformation and aggregation
  • 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

Preferred Qualifications

  • Financial Services industry experience
  • Experience with Pure/Legend
  • Working knowledge of open-source tools such as AWS lambda, Prometheus
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
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