Director, Software Engineer

Morgan Stanley•New York, NY

About The Position

Develop data models for reporting solutions and building modular, efficient systems for business processes. Migrate the legacy systems to the cloud, enhancing performance, scalability, and modernizing the architecture. Create utilities for testing applications, optimize data storage solutions, and develop frameworks for monitoring and performance tracking. Configure distributed computing platforms, implement logging and auditing systems, and design failover strategies with a focus on business continuity planning. -Requires a Master's degree in Information Systems, Computer Science, Computer Engineering, or related field of study. -Requires three (3) years of experience in the position offered or three (3) years as a Data Analyst, Computer Programmer, Software Developer, or related occupation in the technology field. Spark 2, Scala, SQL, Hadoop, Hive, Python; Power BI, Airflow, Databricks, Snowflake, Spring-4, Junit-4, Tableau, Jenkins, Git, MS Visio, Financial Data Modeling. 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. 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. 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.

Requirements

Master's degree in Information Systems, Computer Science, Computer Engineering, or related field of study
Three (3) years of experience in the position offered or three (3) years as a Data Analyst, Computer Programmer, Software Developer, or related occupation in the technology field
Spark 2
Scala
SQL
Hadoop
Hive
Python
Power BI
Airflow
Databricks
Snowflake
Spring-4
Junit-4
Tableau
Jenkins
Git
MS Visio
Financial Data Modeling

Responsibilities

Develop data models for reporting solutions
Build modular, efficient systems for business processes
Migrate the legacy systems to the cloud, enhancing performance, scalability, and modernizing the architecture
Create utilities for testing applications
Optimize data storage solutions
Develop frameworks for monitoring and performance tracking
Configure distributed computing platforms
Implement logging and auditing systems
Design failover strategies with a focus on business continuity planning

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