Profile Description

Division

We are looking for a Data Engineer (35 years) with strong Python programming skills and hands-on experience building modern data platforms using Snowflake dbt and Apache Airflow. You will design and develop reliable data pipelines model and transform data for analytics and collaborate using Git-based workflows to deliver high-quality production-ready data solutions. Experience with Power BI and exposure to AI/ML use cases is a plus.

InvestmentManagement

In the Investment Management division we deliver active investment strategies across public and private markets and custom solutions to institutional and individual investors.

IMIT App Dev

Operations Technology is responsible for building and operating the technology platform catering to critical business processes at Morgan Stanley including Settlements Confirmations Regulatory Reporting Position Keeping Corporate Actions processing and other post-trade functions. The Firm operates at scale with up to 60 million trades processed on peak volume days and several trillion dollars of daily settlements with activity ongoing in multiple countries and currencies across the globe. There is a great breadth of financial products that our Operations plant handles across equity and fixed income from cash products to complex derivatives and loans.

Software Engineering

The Lead will get involved in the design development and testing of multi-tier systems and components across the platforms

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 Firms global businesses with critical presence across Institutional Securities Wealth Management and Investment management as well as in the Firms 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 theres ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team thats eager to create innovate and make an impact on the world Read on

What youll do in the role:

Design build and maintain scalable ETL/ELT pipelines using Apache Airflow (DAG design scheduling monitoring retries alerting).

Develop and optimize cloud data warehousing solutions on Snowflake (schemas performance tuning clustering/partitioning strategies where applicable cost awareness).

Implement analytics engineering best practices using dbt:

o Data modeling (star/snowflake schemas dimensional modeling)

o Reusable macros tests documentation and lineage

o Environment management (dev/test/prod)

Write clean efficient and maintainable Python code for data ingestion transformation orchestration and automation tasks.

Ensure data quality and reliability through validation automated testing and observability/monitoring.

Use Git-based workflows (branching PRs code reviews) and contribute to CI/CD practices for data pipelines and dbt projects.

Troubleshoot pipeline failures resolve data issues and continuously improve performance and stability.

What youll bring to the role:

35 years of professional experience in Data Engineering or related roles.

Hands-on experience with Snowflake dbt and Apache Airflow in production or enterprise environments.

Strong programming skills in Python (data processing APIs automation packaging best practices).

Solid understanding of data engineering concepts:

o ETL/ELT patterns orchestration batch processing (and streaming familiarity is a plus)

o Data modeling warehousing concepts and SQL optimization

Strong SQL skills and experience working with large datasets.

Working knowledge of Git-based development workflows (feature branches pull requests reviews merging strategies).

Good to Have (Preferred Skills)

Experience building dashboards or semantic models with Power BI.

Exposure to AI/ML concepts or enabling AI use cases (feature datasets data prep for model training/inference LLM/AI pipeline awareness).

Kafka (integration / streaming support)

Great Expectations (data quality checks / validation framework)

Soft Skills

Strong problem-solving and debugging abilities.

Good communication skills and ability to work cross-functionally.

Ownership mindset with attention to data quality reliability and documentation.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres 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 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.