Data Engineering Specialist Director Software Engineering

Morgan Stanley

Data Engineering Specialist_ Director_Software Engineering

Profile Description

We’re seeking someone to join our team as  Data analysis specialist as a part of our FRPPE- FinTech  team, to will play a key role in helping transform how Morgan Stanley operates

FRRPE_Tech

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Finance Technology

FINANCE Technology (FINTECH) provides innovative solutions for regulatory and financial reporting, general ledger, profit & loss calculations, securities bookkeeping, budgeting & forecasting, and tax filing. The group leverages a state-of-the-art multi-terabyte financial data warehouse as one of its main assets to service the Firm’s Finance division

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:

This is Director position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, Data Quality ,
optimizing data processes for improved data accuracy and accessibility including applying machine learning and AI-based techniques.

• Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.

• Work with structured and unstructured data to ensure it is accessible and usable.

• Optimize data systems for performance and scalability.

• Implement data quality and data governance standards.

• Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights.

• Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.

• Participate in code reviews and contribute to the improvement of development processes.

• Contribute to the broader data architecture community through knowledge sharing, presentations

What you’ll bring to the role:

• 6 years+ of being a practitioner in data engineering or a related field.

• Proficiency in programming skills in Python

• Experience working on Snowflake and Databricks (Min one of the two)

• Familiarity with Batch job scheduling tools like Airflow, Autosys

• Familiarity with cloud platforms (AWS, Azure) and their data services.

• Understanding of data modelling and data architecture principles.

• Experience with data warehousing concepts and technologies.

• 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.

• At least 6 years' relevant experience would generally be expected to find the skills required for these role

Preferred Skills:

• Experience with Agile methodologies.

• Familiarity with data processing frameworks like Apache Spark or Hadoop.

• Familiarity with data catalog and metadata management tools (e.g., Collibra).

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience with message queues and streaming platforms (e.g., Kafka). 

• Experience on Snowflake Cortex will be really appreciated.

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 85 years. At our 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 our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

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.