Overview
On Site
USD 208,000.00 - 208,000.00 per year
Full Time
Skills
Research
Storage
Management
Fraud
Data Engineering
Offshoring
Production Support
Data Management
Modeling
Interfaces
Database
Extract
Transform
Load
Master Data Management
Mobile Device Management
Reporting
Analytics
Computer Science
Computer Engineering
Oracle
Sybase
Microsoft SQL Server
IBM InfoSphere DataStage
Snow Flake Schema
Data Architecture
Amazon Web Services
Data Analysis
Data Science
Systems Design
Dell
Replication
Performance Tuning
Real-time
Microsoft Windows
Linux
Cloud Computing
SQL Azure
IaaS
PaaS
Amazon EC2
Windows PowerShell
Scripting
Bitbucket
Apache Parquet
Scala
Continuous Integration and Development
Continuous Integration
Continuous Delivery
Tableau
Apache HTTP Server
Cloudera Impala
Apache Hive
Cloudera
Apache Spark
Machine Learning (ML)
Databricks
Expect
Recruiting
SAP BASIS
Collaboration
Partnership
Military
Law
Job Details
Morgan Stanley Services Group Inc. seeks to fill the position of Vice President, Data Engineering in Alpharetta, GA.
Research, develop, document, communicate, and drive implementation of standards on the storage, movement, and management of data across the enterprise. Deliver Fraud Operation data engineering and machine learning projects while coordinating with teams both onshore and offshore. Architect, design, and develop reusable frameworks, and deploy them into cloud solutions. Work on proof-of-concepts to adapt new technologies and cloud services. Design, build, and implement databases, Exact, transform, and load (ETL) jobs, and Master data management (MDM) solutions. Promote and leverage enterprise functions such as infrastructure, production support, and analytics. Act as the subject-matter expertise for data management and modeling challengers. Create and review data utilized in system interfaces. Evaluate and implement tools and strategies for databases, ETL, MDM, and reporting and analytics.
Salary: Expected base pay rates for the role will be between $208000 and $208000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Requirements:
Requires a Master's degree in Computer Science, Computer Engineering, or related field of study plus three (3) years of experience in the position offered or three (3) years of experience as a Senior Data Engineer, Software Developer, or related occupation in the technology field. The employer will accept a Bachelor's degree in Computer Science, Computer Engineering, or related field of study and five (5) years of experience as a Senior Data Engineer, Software Developer, or related occupation in the technology field in lieu of a Master's degree and three (3) years of experience. Requires three (3) years of experience with: Oracle; Sybase SQL Server; IBM Infosphere DataStage; Snowflake; Data Architecture; AWS Data Analytics and Data Science; system design; Dell ECS; Heterogeneous Replication support; Patching; Performance Tuning; Real-time transaction processing; Windows and Linux; Cloud technology including SQL Azure (IAAS and PAAS) and AWS EC2; PowerShell scripting; Bitbucket; Parquet; Scala; Continuous Integration (CI/CD) tools; Tableau; Apache Impala; Apache Hive; Cloudera; Spark; Machine Learning; and Databricks.
Qualified Applicants: To apply, visit us at and enter JR000449 in the search field. No calls please. EOE
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.
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).
Research, develop, document, communicate, and drive implementation of standards on the storage, movement, and management of data across the enterprise. Deliver Fraud Operation data engineering and machine learning projects while coordinating with teams both onshore and offshore. Architect, design, and develop reusable frameworks, and deploy them into cloud solutions. Work on proof-of-concepts to adapt new technologies and cloud services. Design, build, and implement databases, Exact, transform, and load (ETL) jobs, and Master data management (MDM) solutions. Promote and leverage enterprise functions such as infrastructure, production support, and analytics. Act as the subject-matter expertise for data management and modeling challengers. Create and review data utilized in system interfaces. Evaluate and implement tools and strategies for databases, ETL, MDM, and reporting and analytics.
Salary: Expected base pay rates for the role will be between $208000 and $208000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Requirements:
Requires a Master's degree in Computer Science, Computer Engineering, or related field of study plus three (3) years of experience in the position offered or three (3) years of experience as a Senior Data Engineer, Software Developer, or related occupation in the technology field. The employer will accept a Bachelor's degree in Computer Science, Computer Engineering, or related field of study and five (5) years of experience as a Senior Data Engineer, Software Developer, or related occupation in the technology field in lieu of a Master's degree and three (3) years of experience. Requires three (3) years of experience with: Oracle; Sybase SQL Server; IBM Infosphere DataStage; Snowflake; Data Architecture; AWS Data Analytics and Data Science; system design; Dell ECS; Heterogeneous Replication support; Patching; Performance Tuning; Real-time transaction processing; Windows and Linux; Cloud technology including SQL Azure (IAAS and PAAS) and AWS EC2; PowerShell scripting; Bitbucket; Parquet; Scala; Continuous Integration (CI/CD) tools; Tableau; Apache Impala; Apache Hive; Cloudera; Spark; Machine Learning; and Databricks.
Qualified Applicants: To apply, visit us at and enter JR000449 in the search field. No calls please. EOE
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.
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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.