Associate Software Engineer, Market Data Engineering
Goldman Sachs
Job Overview
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Job Description
Who We Are: Market Data Engineering
Market Data Engineering is part of the firm’s Data Engineering group handling global access to financial market data sourced both internally and externally from the firm. The team is currently undertaking a project to revolutionize data ingestion, curation and distribution and is looking for talented engineers to ensure delivery success!
Your Impact
The Market Data Engineering Team is seeking a skilled Senior Software Engineer who has a strong passion for design, development, and the ability to extract meaningful signals from data. A successful candidate will be able to contribute to the team’s long term market data strategy development, lead initiatives that will shape our data architecture and build products that will generate insights for our internal clients.
How You Will Fulfill Your Potential
- Design, develop, test and support software components related to large scale applications that can process and distribute large volumes of high frequency real-time market data scaling millions of messages to/from internal and external clients.
- Push high quality, modular, secure, testable, and maintainable code related to various components of the real-time market data.
- Handle large amounts of structured and unstructured data and implementing solutions to extract meaningful signals out of it.
- Work with a global engineering team and participate in design discussions, stand-ups across multiple regions.
Relevant Technologies
- Java
- Spring-boot
- Restful Web Services
- NoSQL
- Apache Kafka
Basic Qualifications
- A bachelor’s or master’s degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
- 2-3+ years of experience in distributed system design
- 3-5+ years of experience using Java
- 3-5+ Developing restful web services using Spring/Spring Boot
- 3-5+ years of experience with Data structures, time and space complexity, object-oriented design and handling multi-threaded systems.
- Comfort with Agile operating models (practical experience of Scrum / Kanban)
- Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts.
- Strong analytical and problem-solving skills
- Strong work ethic, a sense of ownership
Preferred Qualifications
- Financial Services industry experience
- Working with Relational Databases, such as Sybase ASE, Sybase IQ, and DB2
Key skills/competency
- Data Engineering
- Market Data
- Distributed Systems
- Java Development
- Real-time Data Processing
- Apache Kafka
- RESTful APIs
- NoSQL Databases
- Agile Methodologies
- Data Architecture
How to Get Hired at Goldman Sachs
- Research Goldman Sachs's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume for Market Data Engineering: Highlight experience in distributed systems, Java, Spring Boot, and real-time data processing relevant to Goldman Sachs.
- Prepare for technical interviews: Expect in-depth questions on data structures, algorithms, Java concurrency, and distributed system design specific to Goldman Sachs.
- Understand Goldman Sachs's financial domain: Familiarize yourself with financial market data concepts and how they relate to data engineering challenges.
- Network with Goldman Sachs employees: Connect with current or former data engineers on LinkedIn to gain insights and potential referrals.
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