Enterprise Reference Data - Software Engineer (VP)

N/A, India | Goldman Sachs

  • Industry:
    Financial Services
  • Position Type:
    Full-Time
  • Functions:
    IT / Information Technology
  • Experience:
    7-10 years
Job Description:
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• You will be part of the technology function for Enterprise Reference Data, focusing on building data sourcing, controls and distribution architecture that enables the business to operate efficiently with the data


• You should be able to quickly build visualizations on top of Sybase / DB2 / Hadoop 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


• This is a wide open opportunity for a motivated individual to use their skills to drive change in a high-visibility, challenging environment


SKILLS AND EXPERIENCE WE ARE LOOKING FOR


• Bachelor’s degree or higher in Engineering, Computer Science or related disciplines


• 6-10 years of software industry experience with strong analytical and problem solving skills


• Hands on experience in one of the mainstream programming language (Java, C++, etc.) using object-oriented design techniques and best practices


• Basic understanding of distributed and scalable system design


• Experience in working with SQL/NoSQL data stores


• Experience of test-driven development, hands on experience with testing frameworks such as JUnit.


• Proficiency in using advance data structures and algorithms


• Experience working with business or Clients to transform requirements into software solutions


• Good communication and interpersonal skills.


Preferred Qualifications


• Hands-on experience with the Hadoop or any big data platform and one or more mainstream programming languages (Python, Java, C, Scala, C++, etc.)


• 2 years’ experience dealing with data (structured or unstructured)


• 1 years’ experience in fintech industry


• Experience in designing, building and maintaining distributed and large-scale applications


• Experience working in a start-up business or a new business line within a larger organization is preferred


• Experience in building data products from ideation to implementation


• Web services development: RESTful APIs; Swagger; Jersey; Glassfish