Jobs

Director, Python Database Infrastructure Engineer
Alpharetta, Georgia, United States of America
·
On-site
·
Full-time
·
1mo ago
Required Skills
Python
SQL
PostgreSQL
Snowflake
UNIX/Linux scripting
Agile
DevOps
SQLAlchemy
ODBC
Azure
AWS
We’re seeking someone to join our team as an experienced Database Infrastructure Engineer that with will be responsible for development, unit and integration testing of REST framework, building tools and scripts used for deploying and managing multiple databases and related products globally at the enterprise level. The candidate should have modern-day RDBMS experience in systems like Snowflake and Postgres and will be working on various database related infrastructure / automation projects that will require development in python and UNIX/Linux scripting.
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. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Responsibilities
-
Responsible for monitoring and optimization of Snowflake and PostgreSQL databases, ensuring high availability and top performance across diverse cloud environments
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Responsible for unit and integration testing of REST framework
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Automate database management tasks using Python and UNIX/Linux scripting to enhance infrastructure provisioning and deployment efficiency
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Monitor and ensure data security by configuring encryption, access control, and compliance measures to protect sensitive data in Snowflake and other databases/systems
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Review and improve system performance through query optimization, result caching, and clustering, reducing query times and enhancing system reliability
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Collaborate across teams within the firm to resolve critical issues or any potential outages
Required Skills
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5 years of Strong Developer Experience with ANSI complaint databases such as Postgres and Snowflake using Python and/or Perl
-
Thorough Knowledge of SQL
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Strong development skills in Python using database interfaces such as SQLAlchemy/ODBC
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Experience with Agile and DevOps
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Experience with Linux and Windows, Scripting
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Good understanding of Azure and/or AWS CSP (CLI based application design and implementation)
-
Strong communication and written skills
Desired Skills
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Hands-on experience with Azure and/or AWS CLI based application design and implementation
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Knowledge of security controls for the Public cloud (encryption of data in motion/rest and key management )
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Developing monitoring architecture and implementing monitoring agents, dashboards, escalations and alerts
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Experience with architecting and maintaining high availability production systems
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Snowflake certification a plus
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's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
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About Morgan Stanley

Morgan Stanley
PublicA 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
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