Data Infrastructure Engineer
Morgan Stanley
Mumbai (MSA), Maharashtra, India
1d ago


Data Infrastructure Engineer Developer

About Us

Morgan Stanley is one of the best known names in financial services : a leader in connecting people, ideas and capital to help our clients achieve their financial aspirations.

The 50,000+ people of Morgan Stanley represent over 120 nationalities and speak 90 languages; they work in 600 offices in 28 countries.

Morgan Stanley Advantage Services (MSAS) has been set up in Mumbai to support the breadth of Morgan Stanley's institutional securities business worldwide.

Operating since September 2003, MSAS is a wholly owned Morgan Stanley company.

MSAS IT collaborates with teams in New York, London, Hong Kong and Tokyo to develop leading edge proprietary software to support business-critical functions.


The Technology division partners with our business units and leading technology companies to redefine how we do business in ever more global and dynamic financial markets.

Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to clients’ businesses and to our own.

Finance technology provides solutions for Product Control, Valuation Control, Tax, Accounting, Regulatory, WM & IM Finance, Loans and Spend Management Technology.

Position Description :

A successful candidate will have the experience and qualifications to evolve the strategic data in motion infrastructure that will evolve the enterprise data warehouse leveraging Big Data technologies and modern data loading, manangement and transformation techniques.

The data infrastructure engineer will help to evolve the existing core ETL infrastructure into an Agile friendly development environment that utilizes dev-

ops and continuous build and integration principles. This position requires strong technical skills that includes object oriented development techniques using Java, Python and / or Perl.

The candidate will need to demonstrate proficiency utilizing Big Data technology as well as show the capacity to learn and adapt to new methodologies and tools.

Skills Required :

  • Liaise with technical leaders and feature teams across finance technology to develop the target state architecture and the data processing requirements
  • Develop technical solutions, define timelines and drive concepts to implementation for loading, enriching, securing and manipulating data for use in the Finance Data Warehouse and other target data containers.
  • Optimize solutions for performance.

  • Partner with the delivery teams to develop infrastructure to provide solutions for business applications. Create technical designs, implementation plans, identify project risks and resource requirements
  • Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals.Consider industry offerings, open source communities and standard practices for delivery the ETL infrastructure
  • Develop DevOps practice with continuous integration techniques to raise release quality and increase speed of release cadence
  • Requirements :

  • 5+ years of professional experience in application development with Java, Python or Perl
  • proficient in the object oriented programing concept and design patterns
  • 2+ years of experience in Big Data technologies such as Spark, Hadoop or others
  • experience of development on Unix / Linux platform
  • familiar with Unix shell and shell scripting (any of ksh, bash, tcsh, zsh)
  • familiar with concept of continues build and unit testing
  • familiar with SDLC process
  • Experience working within an Agile environment and with Agile tools.Large scale Agile project experience a plus
  • Excellent oral and written communication skills.
  • Degree in CS, Engineering or equivalent
  • Skill Desired :

  • Object Oriented programming concept and design patterns
  • Big Data technologies experience such as Spark, Hadoop or others
  • Knowledge of ETL technologies such as Talend, Kylo, Informatica Big Data edition and / or other related products
  • Knowledge of Data Security, Data Masking and Data Encryption techniques a plus - Agile development practices
  • Apply
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