Data Engineer (Python with Snowflake/Databricks )_Director_Data & Analytics Engineering

Profile Description

We’re seeking someone to join our team as (Director) Data Engineer who will be instrumental in building and maintaining the data infrastructure for Data AI Enablement project. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.

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.

Architecture & Modernization

Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities.

Data & Analytics Engineering

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, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

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

> 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

> At least 6 years’ relevant experience would generally be expected to find the skills required for these 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)

> Experience with data processing frameworks like Apache Spark or Hadoop.

> Knowledge of database systems (SQL and NoSQL).

> Experience on Snowflake Cortex will be really appreciated.

> 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 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.

Preferred Skills

> Familiarity with data visualization tools (e.g., Tableau, Power BI).

> Familiarity with data governance and security best practices (e.g., data access control, data masking).

> Experience with Agile methodologies.

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

> Familiarity with CI/CD pipelines and DevOps practices.

Personal Skills

> Integrity & ownership, good team player.

> Ability to work under time and resource dependencies and constraints.

> Ability to find simple and effective solutions.

> High degree of motivation to expand technical and business knowledge.

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.