WHAT WE DO:

At Goldman Sachs, our Engineers don’t just make things – we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here.

WHAT WE LOOK FOR:

Goldman Sachs Asset Management (GSAM) is one of the world’s leading investment managers. GSAM provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographies. We help our clients navigate today’s dynamic markets, and identify the opportunities that shape their portfolios and long-term investment goals. We extend these global capabilities to the world’s leading pension plans, sovereign wealth funds, central banks, insurance companies, financial institutions, endowments, foundations, individuals and family offices.

The Client Solutions Group is looking for a data engineer to assist in the buildout and scaling of the business globally using cloud based hybrid Big Data solutions to provide Sales and Marketing teams seamless experience in achieving their objectives through productivity tools, easy access to analytics and insights along withreal time tracking towards their goals.

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

• 2-3 (for Associate level) or 8+ years (for VP) of relevant work experience in a team-focused environment
• Have relevant Big Data experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
• Experience in REST and/or GraphQL
• Experience in working with data-bases – NoSQL and/or Relational.
• In-depth knowledge of relational and columnar SQL databases, including database design
• BS. or higher in Computer Science (or equivalent work experience)
• 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

• Asset management / front office / sales domain knowledge
• Experience with AWS
• Experience with Snowflake

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 firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re 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

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity