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Data Engineer (DIO - Edge) - Client Data Engineering


Job Id : 5841

Jobtitle : Data Engineer (DIO - Edge) - Client Data Engineering

Location : New York, NY

Company Name : Goldman Sachs

Industry : Information Technology

Salary : $62,000 - $91,000  YEAR

Job type : Fulltime

Posted on: 2019-10-21


Required Skills : Analytical Skill, Problem Solving Skill, Programming Language, SQL, Team Player

Benefits : No benefits are available


Job Description:

  • The Data Intelligence organization aims to make data a strategic asset for the enterprise by providing a platform that enables the structuring, management, integration, control, discovery, usage, and governance of our Data Assets.
  • The team leverages a wide variety of cutting edge technologies including Hadoop, HBase, Spark, Apache Beam, Apache Flink, Kakfa, SQL, OLAP platforms, Presto, Hive, Java and Python. Your impact will be to Curate, design and catalog high quality data models to ensure that data is accessible and reliable.
  • Build highly scalable data processing frameworks for use across a wide range of datasets and applications.
  • Provide data-driven insight and decision-making critical to GSs business processes, in order to expose data in a scalable and effective manner.
  • Understanding existing and potential data sets in both an engineering and business context.

 

Responsibilities:

  • Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
  • Evaluate, select and acquire new internal & external data sets that contribute to business decision making
  • Engineer streaming data processing pipelines
  • 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

Skill & Experience:

  • 2-3 years of relevant work experience in a team-focused environment
  • A Bachelors degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
  • Working knowledge of more than one programming language (Python, Java, C++, C#, etc.)
  • Extensive knowledge and 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 expert 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 with the Hadoop eco-system (HDFS, Spark)

 

 

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