Data Infrastructure Engineer Developer
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 :
Optimize solutions for performance.
Skill Desired :