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
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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 with real time tracking towards their goals.
SKILLS AND EXPERIENCE WE ARE LOOKING FOR
- 8+ years 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
Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.