Dir, P3, Data Engineer III : Job Level - Director

Posted 4 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Lead data engineering delivery for Global Settlements: build reports, provision data for regulators, design ETL/ELT and data warehouse solutions, collaborate with users and technologists, and own end-to-end Agile delivery.
Summary Generated by Built In

Job Description:

Company and Department Profile

  • Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
  • 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 40 million trades processed on peak volume days and hundreds of billions of dollars of daily settlements with activity ongoing in multiple countries and currencies across the globe.

Team Profile:

  • Global Settlements technology team has significant presence in Mumbai, New York and Montreal. We are organized into Agile delivery teams closely aligned with Operations product owners, and there is an opportunity to directly see the business benefit of the solutions we develop through our close partnership with our stakeholders and users. We believe in the forward momentum and progress of technology and aim to harness the very best in new technology and systems design to deliver exceptional capabilities to our businesses.

Role:

  • We are seeking an experienced consultant with a strong background in Python and shell scripting, along with proficiency in running SQL queries. As a consultant, you will be responsible for understanding the business requirements of Settlement users and developing new reports. Furthermore, you will collaborate with regulators to provide data provisioning solutions. The role demands ownership of end-to-end delivery of business functionality in an Agile team setting. You will engage directly with users and work closely with technologists across the organization.

Job Requirement:

  • At least 6+ years' relevant experience would generally be expected to find the skills required for this role.
  • 6+ years of being a practitioner in data engineering or a related field.
  • Strong programming skills in Python, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, Dask).
  • Proficiency in SQL and Snowflake experience along with relational databases (e.g., Sybase, DB2, Snowflake, PostgreSQL, SQL Server)
  • Experience with data warehousing concepts and technologies (e.g., dimensional modeling, star    schema, data vault modeling, Kimball methodology, Inmon methodology, data lake design).
  • Familiarity with ETL/ELT processes and open-source frameworks for data transformation (e.g., Apache Spark, Apache Airflow) and Databricks.
  • Experience with any one of the cloud platform, Azure preferred
  • Experience with message queues and streaming platforms (e.g., Kafka).
  • Experience with version control systems (e.g., Git).
  • Experience using Jupyter notebooks for data exploration, analysis, and visualization.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a geographically distributed team.

Nice to have:

  • Understanding of any cloud-based application development & Dev Ops.
  • Understanding of business intelligence tools  - Tableau,PowerBI
  • Understanding of Trade Lifecycle / Financial markets.
  • Understanding of Java

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 that’s differentiated – and we’ve 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 - 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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Skills Required

  • 6+ years relevant experience in data engineering or related field
  • Strong programming skills in Python
  • Shell scripting experience
  • Proficiency in SQL
  • Experience with Snowflake
  • Experience with relational databases (Sybase, DB2, PostgreSQL, SQL Server)
  • Experience with data warehousing concepts and modeling (dimensional, star schema, data vault, Kimball/Inmon)
  • Familiarity with ETL/ELT and data transformation frameworks (Apache Spark, Apache Airflow)
  • Experience with Databricks
  • Experience with a cloud platform (Azure preferred)
  • Experience with message queues/streaming platforms (Kafka)
  • Experience with version control (Git)
  • Experience using Jupyter notebooks for exploration and analysis
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of a geographically distributed team
  • Experience with Pandas, NumPy, or Dask
  • Understanding of cloud-based application development and DevOps
  • Familiarity with BI tools (Tableau, PowerBI)
  • Understanding of trade lifecycle / financial markets
  • Understanding of Java

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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