Data Engineer - VP Level
This job is no longer available.
Design and build scalable and performant databases. Database and ETL development, including stored procedures, queries, performance tuning, archiving, etc.; using python, SQL and ETL tools. Build efficient automation scripts (using Python etc.). Strong relational database skills especially with DB2/SQL Server or/and Postgres/Greenplum. Kafka and MongoDB knowledge is a plus. However, willing to train. Knowledge of Spark, Snowflake, and Databricks is desirable. Create high quality and optimized stored procedures and queries. Experience with Power Designer or some similar modeling tool. Python and Unix / K-Shell. Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts. Familiar with lifecycle of a trade and flows of data in an investment banking operation. Experienced in Agile development process. Effective communication skills. 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. We 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. We're committed to bringing passion and customer focus to the business. Expected base pay rates for the role will be between $135,000 and $205,500 per year at the commencement of employment. 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.
Want more jobs like this?
Get Data and Analytics jobs delivered to your inbox every week.

Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- Fitness Subsidies
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
- FSA
- Virtual Fitness Classes
- HSA
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Return-to-Work Program
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
Work Flexibility
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Leave of Absence
- Volunteer Time Off
- Personal/Sick Days
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Internship Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)