Technology - GIR Technology - GIR Tech - Data Engineer - Vice President - New York

MORE ABOUT THIS JOB

TECHNOLOGY

Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.

RESPONSIBILITIES AND QUALIFICATIONS

OUR IMPACT

Enabling Goldman Sachs' research analysts to model investment ideas efficiently and accurately, whilst ensuring that clients can access these ideas when, where and how they choose. GIR Technologists leverage the latest in cloud, mobile and big data technologies to help define and deliver our digital investment research strategy.

YOUR IMPACT

The Goldman Sachs Investment Research division is undergoing a "Digital-first" transformation that will lead to a landmark shift in how our research is produced and consumed by our clients. You'll join the team that is a key part of this transformation into a data-driven organization as we build out the underlying Data platform for critical business metrics. Many Greenfield opportunities await the successful candidate as we build this platform for gaining insights into business and monetizing our content.

HOW YOU WILL FULFILL YOUR POTENTIAL

  • As a software engineer, you will be a key contributor in building a green field Research Data platform to help senior business stakeholders understand our clients? digital research consumption and translate those insights into actionable ideas. - There are opportunities for the successful candidate to work on a diverse set of Technology platforms and be involved in day to day coding in building the Research Data platform from scratch and integrating with other firm-wide Data Platforms/Technologies. - We sit with our business users and are exposed, daily, to their thought processes, allowing us to apply relevant technology solutions to the problems they face.

BASIC QUALIFICATIONS

  • Experience in designing data models and pipelines for mission-critical Analytics with senior stakeholders - Proficient in creating data models optimized for performant extraction (SQL, NoSQL and/or Hadoop/Hive/Spark) - Familiarity with BI tools (Qlikview, Tableau, ZoomData) and Visualization APIs (D3.js) - Proven record of producing robust, well-tested solutions and familiarity with the full product lifecycle (requirements gathering, implementation through support) - A strong analytical and problem solving mind-set - Willingness to collaborate with our business partners to understand and implement their requirements

PREFERRED QUALIFICATIONS

  • Experience working on data architecture/modeling for Enterprise Data Hub implementations - Experience in implementing data transformations in Spark, SQL and/or Python, R - An understanding of current Data Engineering frameworks to support Data Science and Machine Learning efforts - Agile methodologies - Experience working in an Agile environment - Experience working in a global team

ABOUT GOLDMAN SACHS..


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