Data Engineer, Technology Data Engineer, Technology …

Goldman Sachs
in Richardson, TX, United States
Permanent, Full time
Be the first to apply
Competitive
Goldman Sachs
in Richardson, TX, United States
Permanent, Full time
Be the first to apply
Competitive
Data Engineer, Technology
>

ENGINEERING

What We Do

At Goldman Sachs, our Engineers dont just make things we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

RESPONSIBILITIES AND QUALIFICATIONS

HOW YOU WILL FULFILL YOUR POTENTIAL
You will be part of the technology function for Marcus, focusing on building a business intelligence architecture that enables the business to operate efficiently
You should be able to quickly build visualizations on top of AWS / Hadoop / Sybase data to meet business needs, as well as be the thought leader to influence functional heads on new and innovate ways to visualize data that will help drive business value
You will help design data architecture to enhance existing pipelines as well as build feeds for new data sources
You will participate in data architecture decisions and partner with technology teams to implement data products in production systems.
You will work closely with business partners and technology leaders to evaluate new BI tools that can further enhance the business ability to analyze data
You should be able to commercialize data products and influence leadership on the value of these products

QUALIFICATIONS
Advanced degree in Engineering, Computer Science or related disciplines
Hands-on experience with the Hadoop or Spark big data platform and one or more mainstream programming languages (Python, Java, C, Scala, C++, etc.)
Experience in building data products from ideation to implementation
At least 2 years experience in a visualization tool such as Tableau or QlikView
At least 3 years experience dealing with data (structured or unstructured)
Ability to explain data analysis to drive business ideas
Strong project management skills
Experience working in a start-up business or a new business line within a larger organization is preferred

Goldman Sachs logo
More Jobs Like This
See more jobs
Close
Loading...
Loading...