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Goldman Sachs Data Engineer – Vice President– Corporate Treasury GS Bank Engineering United States, New York, New York 908913877
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The Cross Product Regulatory Controls team builds and manages applications that validates 1mm daily over-the-counter trades in real time and assess $3Bn worth of loans and securities to aggregate and generate reports for Reg W 23A Regulatory reporting. Working directly with the compliance and legal teams, we gather requirements and provide solutions that meet the dynamic business and regulatory environments.
Your Impact
In this role, you will be provided unique insight into the firm’s business activities and asset strategy. You will be responsible for defining, developing data pipelines, built metric calculators, automated tools to help business get insights into data, predict scenarios, and perform better decision making to help optimize firm’s liquidity. Our front to back model gives software developer’s window into all aspects of CT planning and execution while working on cutting edge industrial technologies.
In this role, you will be understanding the data consumed in the calculators and identify gaps, uplift, and consolidation opportunities. You will Work with multiple data providers to identify authorized sources of data and create logical data models to provide equivalent view of data. You will collaborate extensively with Engineering and Product teams to support functional use-cases and take data driven decisions to build and enhance the platform. The ideal candidate has experience building robust data pipelines and reporting tools. Also, someone with a strong application development background with keen interest in data engineering would be considered.
Basic Qualifications
- B.S. or higher in Computer Science (or equivalent work experience)
- 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
- Experience with building workflows (ETL pipelines)
- Experience with SQL and optimizing queries
- Strong analytical and problem-solving skills – demonstrated ability to learn technologies and apply.
- Comfortable multi-tasking, managing multiple stakeholders and working as part of a team.
- 4+ years of relevant professional experience
Preferred Qualifications
- Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)
- Programming experience in at least one compiled language - Java, Python
- Experience with Kubernetes
- Experience with AWS
- Familiarity with financial markets, financial assets, and liquidity management is plus About Goldman Sachs
© The Goldman Sachs Group, Inc., 2021. All rights reserved.
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.
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