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Python / Spark Developer _ Associate_ Software Engineering

Morgan Stanley

Python / Spark Developer _ Associate_ Software Engineering

Morgan Stanley

Mumbai, Maharashtra, India

·

On-site

·

Full-time

·

1mo ago

Required Skills

Python

SQL

Apache Spark

Unix shell scripting

Data Warehousing

Profile Description

We're seeking someone to join our team as Python Developer as a part of our FRPPE-Fin Tech 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.

Risk Technology

Risk Technology supports the aggregation and monitoring of risks across all global business and products. We own cross-asset applications and services to support and enable risk management consolidation, calculation, analysis and reporting, federal marking, model inventory control, limit setting, and frameworks monitoring. In addition, these services are used to meet global regulatory requirements.

Software Engineering

This is Associate 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.

What you'll do in the role:

  • Support infrastructure related upgrades involving database and other environments.

  • Develop and support of Data Ingestion Framework (using Spark, Python, Databricks, SQL etc.)

  • Implement DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git

What you'll bring to the role:

  • 5 years of working experience in Data Warehousing

  • Bachelor's degree in computer science or related field

  • Excellent understanding of Data Warehousing concepts (i.e., Data modelling, data transformations)

  • Strong Skills in Relational Databases and writing complex SQL

  • Good Python programming skills

  • Good understanding of Unix shell scripting

  • Knowledge about DevOps implementation in Data space

  • Hands on experience with Spark, Snowflake and/or Databricks Excellent communication, interpersonal skills

  • At least 2 years' relevant experience would generally be expected to find the skills required for this role.

What you'll bring to the role:

5 years of working experience in Data Warehousing
Bachelor's degree in computer science or related field
Excellent understanding of Data Warehousing concepts (i.e., Data modelling, data transformations)
Strong Skills in Relational Databases and writing complex SQL
Good Python programming skills
Good understanding of Unix shell scripting
Knowledge about DevOps implementation in Data space
Hands on experience with Spark, Snowflake and/or Databricks
Excellent communication, interpersonal skills

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.

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About Morgan Stanley

Morgan Stanley

A financial services company that offers securities, asset management, and credit services.

10,001+

Employees

New York

Headquarters

Reviews

3.5

4 reviews

Work Life Balance

3.0

Compensation

2.5

Culture

3.2

Career

3.0

Management

3.0

35%

Recommend to a Friend

Pros

Skills evaluation through business plans and projects

Direct access to senior leadership interviews

Conversational interview format

Cons

Automated resume screening system issues

Focus on formatting over qualifications

Compensation concerns and salary expectations

Salary Ranges

11,766 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

1,682 reports

$114,371

total / year

Base

$96,366

Stock

-

Bonus

$18,005

$77,808

$170,800

Interview Experience

6 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 16%

Neutral 84%

Negative 0%

Interview Process

1

Initial screening (HR/HireVue)

2

Technical rounds

3

Manager/Senior leadership interviews

4

Final round/Superday

Common Questions

Technical knowledge assessment

Behavioral questions

Role-specific scenarios

Leadership and teamwork examples