Senior Data Engineer for High-Performance Platforms
3 days ago
At Goldman Sachs, you will have the opportunity to work at the forefront of technology innovation and make significant contributions to the field. Our team of engineers build solutions to the most complex problems in a fast-paced, dynamic environment adapting to market and customer needs to deliver robust solutions in an ever-changing business environment.
About the RoleWe are seeking a strong Java developer with a good understanding of backend design concepts to join our team. You will work across various systems and programming languages to create a high-performance platform to store and distribute client data across dozens of different platforms. The data will be stored and transported securely while still able to be queried efficiently.
Responsibilities- Data Technologies: Kafka, Spark, Debezium, GraphQL
- Programming Languages: Java, Scripting
- Database Technologies: Experience automating deployment processes is a plus
- Cloud Technologies: Experience with Kubernetes is a plus
You will fulfill your potential by modelling and codification of data pipelines and querying, building frameworks for compute and enrichment of data entities and its distribution using existing data platform components. Build tools to automate testing (integration, stress, and performance) as well as deployment automation.
Requirements- Computer Science, Mathematics, Engineering or other related degree at bachelors level
- Java, Scripting, REST, Spring Boot, Jersey
- Familiarity with Gradle and Gitlab pipeline automation
- Familiarity with performance testing frameworks such as JMeter
- Kafka, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE
- 5+ years of hands-on experience on relevant technologies
The estimated salary for this role is $150,000 per annum. Please note that this figure is an estimate and may vary based on location and other factors.
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