Data Engineering - Core Data Platform - Software Engineer - Vice President - Dallas
Dallas, Texas, United States
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Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.YOUR IMPACT
As a Software Engineer, you will be responsible for helping to improve Alloy Studio platform either by providing new functionalities based on users requests and new use cases, or improving existing ones. There is wide variety of ways to get involved depending on your interests - from making Alloy Studio intuitive and improving user/developer experience, through making data modelling process seamless, providing connections to new types of databases, improving modelling language itself or optimizing query execution time.
HOW YOU WILL FULFILL YOUR POTENTIAL
- Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
- Contribute to an open source technology - https://github.com/finos/legend
- Develop and contribute to legend language - https://legend.finos.org/docs/language/legend-language
- Drive adoption of Cloud technology for data processing and warehousing
- Engage with data consumers and producers in order to design appropriate models to suit all needs
Relevant Technologies: Java, AWS, React
Basic Qualifications
- 5+ (VP) years of relevant work experience in a team-focused environment
- A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
- Strong object-oriented design and programming skills and experience in OO languages (Java)
- Experience or interest in functional programming languages
- Proven experience applying domain driven design to build complex business applications
- Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
- In-depth knowledge of relational and columnar SQL databases, including database design
- General knowledge of business processes, data flows and the quantitative models that generate or consume data
- Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
- Independent thinker, willing to engage, challenge or learn
- Ability to stay commercially focused and to always push for quantifiable commercial impact
- Strong work ethic, a sense of ownership and urgency
- Strong analytical and problem solving skills
- Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
Preferred Qualifications
- Financial Services industry experience
- Experience in distributed system design
- Experience with Pure/Alloy
- Working knowledge of open-source tools such as AWS lambda, Prometheus
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data management Data quality Engineering GitHub Java Lambda Mathematics Open Source React Security SQL
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