Engineering - FICC Technology- Sales - Associate - Bengaluru



What We Do

At Goldman Sachs, our Engineers don't 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

JOB SUMMARY & RESPONSIBILITIES

As a Data Engineer in FICC Sales Technology, you will work closely with a talented team to build and own part of our big data ecosystem. Our Data Engineers define models, setup new data streams, optimize performance, and develop analytics for fact and reference data used by FICC Sales and Trading.

Our ecosystem blends a variety of proprietary, commercial and open-source technologies to solve core business problems such as opportunity analysis and data visualization. You will engineer software across all phases of development, analysis, design, build, test, release, and enhance. Above all, that should be your core competency. This role is fundamental to the data warehouse and business intelligence initiatives in progress across the Securities Division.

BASIC QUALIFICATIONS

  • 3+ years of full-time professional or open-source software development experience
  • Experience developing in Big Data Architecture, Hadoop stack including HDFS cluster, Map Reduce, Hive, Spark and Scala/Pig
  • Hands on experience with any enterprise RDBMS (DB2, Sybase IQ) and ETL tools i.e. Informatica, Datastage
  • Strong Knowledge of data structures and algorithms
  • Proficient in data warehouse and business intelligence space, knowledge of dimensional modeling design and principles
  • Understanding of database programming and performance tuning
  • Strong analytical and problem solving skills
  • Experience with machine learning like SciKit-Learn, MLLib, R
  • Experience with BI Reporting Tools and Building Dashboards in Qlikview, Tableau
  • Java or Python experience

PREFERRED QUALIFICATIONS
  • Experience with machine learning like SciKit-Learn, MLLib, R
  • Experience with BI Reporting Tools and Building Dashboards in Qlikview, Tableau
  • Java or Python experience


ABOUT GOLDMAN SACHS

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

© The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.


See Inside the Office of Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.


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