热门公司

Morgan Stanley
Morgan Stanley

Leading company in the financial services industry

Data Engineer- Associate/Director- Software Engineering

职能数据工程
级别总监级
地点Mumbai, Maharashtra, India
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

Python

SQL

Spark

We’re seeking someone to join our FRPPE Tech team as a Databricks Data Engineer , in Finance Technology to We are seeking a highly skilled Databricks Data Engineer with strong expertise in Python and modern cloud platforms to design, develop, and optimize scalable data solutions. The ideal candidate will have hands-on experience with the Databricks platform (Primary Skill), including ETL pipelines, data governance, data warehousing, and advanced features such as Genie. You will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions. Strong knowledge on Cloud platforms is a must.

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.

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

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

  • Design, build, and maintain scalable ETL/ELT data pipelines using Databricks(Primary Skill).
  • Develop data processing solutions using Python (Py Spark).
  • Implement and manage data governance features within Databricks, including

Unity Catalog for centralized data governance

  • Data lineage, access control, and data quality enforcement
  • Build and optimize data warehouses using Databricks SQL.
  • Work with Delta Lake for reliable and performant data storage.
  • Utilize Databricks Genie to enhance analytics and business insights.
  • Implement CI/CD pipelines for data engineering workflows.
  • Optimize Spark jobs for performance and cost efficiency.
  • Collaborate with cross-functional teams to gather data requirements and deliver solutions.
  • Ensure data security, compliance, and governance best practices are followed.
  • Monitor, troubleshoot, and improve existing data pipelines.
  • Experience in Database development (Secondary skill -writing SQL queries/Data Modelling/Stored Procedures/Index/Performance Tuning e.g. Query Plan analysis).
  • Knowledge on ETL tool

What you’ll bring to the role:

  • 3–8 years of hands-on experience in data engineering, database development, or related roles.
  • High interest in Finance business & data analysis required.

Interest in Accounting preferred:

  • Eager to learn business in Finance such as financial products, regulatory requirement, and accounting, working closely with internal clients
  • Ownership/Accountability and desire to take on an expanded role over time.
  • Ability to multi-task and work against deadlines/priorities
  • Eager to work with new technologies and apply them towards enterprise-level data solutions
  • Capable of working with a global team and thriving in a team development environment
  • Advanced problem-solving skills and the ability to deal with real world business issues
  • At least 4+ years' relevant experience would generally be expected to find the skills required for this role

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 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.

浏览量

0

申请点击

0

Mock Apply

0

收藏

0

关于Morgan Stanley

Morgan Stanley

Morgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.

10,001+

员工数

New York

总部位置

$150B

企业估值

评价

10条评价

4.1

10条评价

工作生活平衡

2.8

薪酬

4.2

企业文化

3.7

职业发展

4.1

管理层

2.9

75%

推荐率

优点

Great learning opportunities and experience

High salary and bonuses

Good team dynamics and supportive colleagues

缺点

Long hours during peak times

High stress and overwhelming environment

Work-life balance issues

薪资范围

6,221个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

49份报告

$109,250

年薪总额

基本工资

$95,000

股票

-

奖金

-

$73,554

$143,750

面试评价

6条评价

难度

3.2

/ 5

时长

21-35周

面试流程

1

Application Review

2

HR Screen/HireVue

3

Technical/Behavioral Interviews

4

Superday/Final Round

5

Onsite Interview

6

Offer Decision

常见问题

Technical Knowledge

Behavioral/STAR

Investment/Finance Concepts

Case Study

Culture Fit