Morgan Stanley

Senior Manager_Senior Software Engineer (Data)_Radius Reporting

Posted On

May 7, 2025

Location

Mumbai, Maharashtra

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Aug. 13, 2025

Job Description

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 visit www.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’s 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 3 days a week and choosing to work remotely or in the office the remaining days of the week.

ABout Team

The Radius Reporting team at Parametric is a brand new and highly visible team:

The primary goal is to develop a resilient and scalable data and reporting platform on AWS Cloud. This platform will utilize the Medallion Architecture to integrate data from diverse internal and external sources, processing, merging, milestone tracking, and certifying the data using technical and business rules. The team will also implement automated and manual workflows to support robust data governance.
Creating a high-value platform designed to fulfill multiple needs, including generating standard client reports, and delivering data feeds to partners.
The team will design a data lake optimized for report generation, leveraging the AWS Stack and Modern Data Stack technologies.
The platform will require scalable and resilient Microservices to validate services and support user interfaces.

ABOUT THE ROLE

The Senior Software Engineer (Data) will be responsible for the design and development of the firm's new Reporting Data Platform, known as Radius Reporting. This role requires a solid data engineering foundation and an approach to a highly available and event driven system. It also necessitates extensive interaction and communication, potentially across multiple development teams and will help centralize reporting data across the firm.

Primary Responsibilities

Participate in Agile-based product development.
Provide flexible solutions to complex business problems using our technology best practices.
Build data pipelines from various sources to produce validated and normalized reporting data.
Apply best in class engineering principles, optimized algorithms, and data structure techniques.
Create unit/integration/functional tests.
Conduct code reviews for other developers.
Follow technology trends/tools and recommend improvements to our technology when appropriate.
Research new cloud apps/open-source technologies and incorporate into existing projects.
Provide technical leadership and mentorship to other team members.

Job QUALIFICATIONS

SKILL SET

Required Experience: 7+ years

Skill set: Python / SQL / Spark / AWS S3 / AWS Athena / AWS Glue / AWS Lambda / Delta Lake / Apache Iceberg / dbt / Great Expectations

Primary Skills

Bachelor’s degree in computer science/computer engineering or related field.
7+ years of hands-on Data Engineering experience with Python
3+ years’ experience in cloud native services development (AWS preferred)
Experience with AWS ETL tools like Glue/Athena
Experience with Apache Iceberg or Databricks Delta Lake
Strong experience with using SQL Databases like PostgreSQL and relational database design.
Demonstrated experience with agile or other rapid application development methods.
Demonstrated experience with object-oriented design, coding, and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures.
Knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
Effective communication skills with business users and other developers
Strong analytical skills and ability to understand complex business problems quickly.

Good to Have Skills

Experience in Financial Services Industry
Experience with building Data Lakes, Data Mesh or Data Fabric
Experience with Terraform
Experience in back-end web development, specifically Micro-services Architecture/Containerization
Experience in event-based architectures and messaging platforms like Kafka.

Parametric believes that each employee 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, but not limit the employee or the organization to just the work identified. It is our expectation that every employee will offer his/her services wherever and whenever necessary to ensure the success of our services.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize 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, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize 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, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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Job Description

About Morgan STanley

About Parametric

This role is part of Parametric's hybrid working model, which includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.

ABout Team

The Radius Reporting team at Parametric is a brand new and highly visible team:

Creating a high-value platform designed to fulfill multiple needs, including generating standard client reports, and delivering data feeds to partners.

The team will design a data lake optimized for report generation, leveraging the AWS Stack and Modern Data Stack technologies.

The platform will require scalable and resilient Microservices to validate services and support user interfaces.

ABOUT THE ROLE

Primary Responsibilities

Participate in Agile-based product development.

Provide flexible solutions to complex business problems using our technology best practices.

Build data pipelines from various sources to produce validated and normalized reporting data.

Apply best in class engineering principles, optimized algorithms, and data structure techniques.

Create unit/integration/functional tests.

Conduct code reviews for other developers.

Follow technology trends/tools and recommend improvements to our technology when appropriate.

Research new cloud apps/open-source technologies and incorporate into existing projects.

Provide technical leadership and mentorship to other team members.

Job QUALIFICATIONS

SKILL SET

Required Experience: 7+ years

Skill set: Python / SQL / Spark / AWS S3 / AWS Athena / AWS Glue / AWS Lambda / Delta Lake / Apache Iceberg / dbt / Great Expectations

Primary Skills

Bachelor’s degree in computer science/computer engineering or related field.

7+ years of hands-on Data Engineering experience with Python

3+ years’ experience in cloud native services development (AWS preferred)

Experience with AWS ETL tools like Glue/Athena

Experience with Apache Iceberg or Databricks Delta Lake

Strong experience with using SQL Databases like PostgreSQL and relational database design.

Demonstrated experience with agile or other rapid application development methods.

Demonstrated experience with object-oriented design, coding, and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures.

Knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases

Effective communication skills with business users and other developers

Strong analytical skills and ability to understand complex business problems quickly.

Good to Have Skills

Experience in Financial Services Industry

Experience with building Data Lakes, Data Mesh or Data Fabric

Experience with Terraform

Experience in back-end web development, specifically Micro-services Architecture/Containerization

Experience in event-based architectures and messaging platforms like Kafka.

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