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Goldman Sachs & Co. Data Engineer - Client Data Engineering - Data Design & Curation in Bengaluru, Indiana

MORE ABOUT THIS JOB

YOUR IMPACT

  • Curate, design and catalogue 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 GS’s 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

    HOW WILL YOU FULFIL YOUR POTENTIAL

  • 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, and providing scalable and performant solutions

  • Engage with data consumers and producers in order to design appropriate models to suit all needs

RESPONSIBILITIES AND QUALIFICATIONS

BASIC QUALIFICATIONS/EXPERIENCE

  • 7+ years of relevant work experience in a team-focused environment

  • A Bachelor’s 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)

ABOUT GOLDMAN SACHS

BASIC QUALIFICATIONS/EXPERIENCE

  • 7+ years of relevant work experience in a team-focused environment

  • A Bachelor’s 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)

Location(s)IN-Bengaluru

Job ID 2021-75454

Schedule Type Full Time

Function(s) Data Engineer

RegionIndia

Division Engineering

Business UnitData Engineering

Employment Type Employee

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