Data Platform Engineer with Transaction Banking Expertise
3 weeks ago
Imagine building massively scalable software and systems that shape the future of finance. At Goldman Sachs, our Engineers do just that - we turn data into action, leveraging machine learning alongside financial engineering. Join our global team of innovators and problem-solvers who create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
As a Data Platform Engineer with Transaction Banking expertise, you will contribute to our vision, roadmap, and world-class engineering culture, while integrating business value and client experience within the team. You will work with a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists to develop innovative solutions for traditional banking and lending activities.
In this role, your responsibilities will include development, test, and rollout of data platform features. Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems.
Key requirements include:
- Minimum 6 years of hands on experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
- Minimum 5-year production experience with Kafka, Kinesis or equivalent
- Experience in REST and/or GraphQL
- Experience in working with data-bases - NoSQL and/or Relational.
Our expected base salary for this position is $187,500, based on the company's expectations for this specific role in New York, NY, USA. 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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