The Client Data Engineering team manages a Data Engineering departmental initiative, executed by Goldman Sachs' Data Intelligence Office (DIO), to curate client data connected through division client data models, and make the data retrievable via API and the Firmwide Reporting Group (FRG).

YOUR IMPACT

• 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 GSs 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

HOW WILL YOU FULFILL YOUR POTENTIAL

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

BASIC QUALIFICATIONS

• 7 years (for VP) of relevant work experience in a team-focused environment
• A Bachelors 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

PREFERRED QUALIFICATIONS

• Financial Services industry experience
• Experience with the Hadoop eco-system (HDFS, Spark)
• Experience with Business Intelligence and Data Visualization tools such as Tableau or QlikView

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 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 firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html.

The Goldman Sachs Group, Inc., 2020. All rights reserved.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity