Morgan Stanley

Data Engineer(Snowflake & Talend)_Director_Software Engineering

Posted On

July 15, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Aug. 6, 2025

Job Description

Profile Description

We’re seeking someone to join our team as (Director) Senior Data Engineer for the modernization of tooling enablement function. As a Senior Data Engineer, you will be responsible for design, modelling, development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend, Informatica and APIs. The ideal candidate should have the skills listed below but in addition should be a self-driven, dedicated individual who works well in a team and thinks and acts strategically.

Enterprise_Technology

Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.

Workforce Technology & Services

Workforce Technology & Services Provides the Firm’s workforce with the technology, services and capabilities required to meet the needs of colleagues, partners and clients

Software Engineering

This is Director position that develops and maintains software solutions that support business needs.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
Identify and optimize new/existing data workflows.
Identify and implement data integrity practices.
Integrate data governance and data science tools with Snowflake ecosystem as per practice.
Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
Collaborate with team members to design and implement effective data workflows and transformations.
Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
Participate in code reviews and provide constructive feedback to improve team deliverables quality
Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
Design, implement data distribution layer using Snowflake REST API.

What you’ll bring to the role:

At least 4 years’ relevant experience would generally be expected to find the skills required for this role

Experience in data analysis, data objects development and modeling in Snowflake data store.
Snowflake REST API experience
Informatica ETL and Talend ETL experience.
Efficient SQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2, SQL) querying and focus on data transformations.
Excellent problem-solving skills and team-oriented mindset
Strong data modelling concepts and schema design on relational data store and on cloud data store
Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)

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.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

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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