Data Engineering Expert
4 weeks ago
As a Data Engineering Expert in Compliance, you will play a key role in preventing, detecting, and mitigating regulatory and reputational risk across Goldman Sachs. This involves assessing the firm's compliance, regulatory, and reputational risk, monitoring for compliance with new or amended laws, rules, and regulations, designing and implementing controls, policies, procedures, and training, conducting independent testing, and leading the firm's response to regulatory examinations, audits, and inquiries.
About the Team
The Compliance Division is an independent control function and part of the firm's second line of defense. We are a team of over 300 engineers and scientists who work on complex, mission-critical problems. We have access to the latest technology and massive amounts of structured and unstructured data. Our team empowers these activities by building and operating a suite of software platforms and applications using modern frameworks to build responsive and intuitive UX/UI and Big Data applications, incorporating cutting-edge AI and efficient processes to drive them.
Key Responsibilities
As a Data Engineer, you will design, develop, and maintain data pipelines and anomaly detection models that process huge volumes of trading and trade-related data. You will provide technical direction to leverage the most relevant technologies for different business use cases, adapt optimal technologies, and improve adoption across engineering teams. Your responsibilities will also include developing an understanding of evolving regulatory frameworks, leveraging cutting-edge technologies to manage firm regulatory and reputational risk, and being a technical lead in developing and driving best practices around coding, testing – scalability, stability, and quality, code reviews, and operational readiness.
Technical Requirements
We require an MBA or Bachelor/Master's degree in Computer Science, Computer Engineering, or a similar field of study. You should have at least 7 years' experience in software development, including developing and designing end-to-end solutions to enterprise standards, automated testing, and SDLC. Your expertise should include one or more of Java, Spark, Hadoop, Flink, MapReduce, HBase, JSON, Protobuf, Presto, Elastic Search, Kafka, Kubernetes, as well as proficiency in Java or any other Object-Oriented Language, databases, and data manipulation. Familiarity with data analysis using tools such as SQL, Spark SQL, Zeppelin/Jupyter is also essential.
Estimated Salary Range
This position offers an estimated salary range of $150,000 - $200,000 per annum, depending on qualifications and experience.
About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm that provides a wide range of financial services to a substantial and diversified client base. Founded in 1869, the firm is headquartered in New York and maintains offices around the world. We believe who you are makes you better at what you do and are committed to fostering and advancing diversity and inclusion in our own workplace and beyond.
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