Who We Are

Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered. At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively 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. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here.

In Private Wealth Management, we help our clients pursue their wealth management goals through careful advice & astute investment management. PWM Engineering plays a pivotal role in building the tools and applications our business needs to effectively manage and support our client's diverse requirements. We support the entire user experience starting with onboarding through to trading, reporting, as well as providing clients access to their portfolios online via native iOS and Android apps. We also build and support numerous applications for our Business and Operations users to help them effectively manage risk and provide the best white-glove service possible to our clients. Your Impact This person will be: Responsible for expanding and optimizing our cloud based data pipeline architecture. Building robust data pipelines and reporting tools. Basic Qualifications 3+ years of experience in data processing & software engineering and can build high-quality, scalable data oriented products. Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc.) for building efficient, large-scale data pipelines. Strong Software Engineering experience with in-depth understanding of Python, Scala, Java or equivalent. Strong understanding of data architecture, modeling and infrastructure. Experience with building workflows (ETL pipelines). Experience with SQL and optimizing queries. Problem solver with attention to detail who can see complex problems in the data space through end to end. Willingness to work in a fast paced environment. MS/BS in Computer Science or relevant industry experience. Preferred Qualifications Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc.). Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc.).

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