Job Information
Morgan Stanley Vice President_Lead Data Engineer - Parametric in Mumbai, India
About Morgan STanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visitwww.morganstanley.com.
About Parametric
Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what is important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients’ core holdings.
This role is part of Parametric's hybrid working model, which includes working in the office 2-3 days a week and choosing to work remotely or in the office the remaining days of the week.
About The Team
ARC (Automation, Reinvention & Collaboration) team is part of Parametric Operations. This team is core to success of Parametric Operations and is inclined with vision of Ops2.0. This team works on identifying opportunities, developing prototype, building custom solutions and its implementations. This team also works with core technology team as SME from Operation.
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ABOUT THE ROLE
As part of the Global Operations Team, the Lead Data Engineer will contribute significantly to the Parametric Operations data eco system from the inception and build of the eco system to establishing appropriate pipelines and connection points.
Primary Responsibilities
Develop multi layered, secure, robust, and efficient datalake that is easy to access & maintain, and own the maintenance of the data repository
Connects the datalake across different data repositories and sources to enable efficiency in operations
Automate data pipelines and data refresh
Use both on-prem and cloud to push and pull data as per requirements
Develop data connectors to work as plug-and-play for most of the available query analyzer
Develop solution to connect operations data lake to cloud using cloud native development (AWS) vs what remains on-prem
Responsible for improving the quality, integrity, and reliability of the important & critical Operations data.
Partner with Operations & Technology to implement data availability and accessibility for users
Identify the need to integrate different data sources
Develop scripts to automate these data injection and data refresh
Report on latest data update and data availability
Job QUALIFICATIONS
SkILL SET
Required Experience: 10 years
Skill set: Data Engineering / Software Development / Cloud technologies / Data Lake / Big Data
Primary Skills
Bachelor’s Degree (4 year degree) in Computer Science/Engineering, or similar required
9 years of software development experience as an individual contributor
8 years of experience as data engineer
Experience in building big data lake / repository using any big data technology such as Cloudera, MongoDB, Databricks
Worked on automated data pipeline development from different internal and external sources.
Integrating existing data lake with enterprise data warehouse
Cloud data integration (AWS preferred)
Implementation of data democratization
Data access control implementation
Methodology & Technology – Python, Cloudera, Spark, Alteryx, ETL, Kafka
Good to Have Skills
Financial industry experience specially in top tier financial GCC
Master’s degree in Computer Science/Engineering or similar
Should be able to challenge BAU
Mindset of logical traversal is needed
Excellent communication skill
Ability to understand business requirement and convert that into technological implementations
Quick learner , helpful, dependable & innovative
Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.
“Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectivesand experiences. Our strong commitment to a culture of inclusion is evidentthrough our constant focus on recruiting, developing and advancing individuals based on their skills and talents.”
Job: *Engineering
Title: Vice President_Lead Data Engineer - Parametric
Location: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)
Requisition ID: 3245308