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