Data Engineer - Director
About The Position
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. This is a Lead Data & Analytics Engineering position at the Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. 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. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on. This is a data engineer role in the team responsible for developing the firm's data messaging platforms and data stores that holds both transactional, reference data and aggregated risk measures for real time and archive processing and getting it into the operational data stores (ODS), archives and DataMart. The global team consists of highly technical team members who are adaptable and hands on in software development and life cycle management and proficient in devops. We deliver multiple projects for multiple business areas in parallel. The business owners and subject matter experts are globally distributed making communication to be important. The candidate is expected to collaborate closely with our users and support partners. The development is to be performed using an agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc.) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership and be a team player.
Requirements
- Strong relational database skills especially with DB2/Sybase/SQL Server or/and Postgres/Greenplum.
- Required knowledge of Spark, Snowflake, and Databricks
- 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.
Nice To Haves
- applying machine learning and AI-based techniques
- proficient in devops
- domain modeling
- database design (both relational and noSQL)
- big data
- messaging
Responsibilities
- Translate business requirement into queries against a set of relational tables and produce reporting based on the requirements.
- 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.)
Benefits
- commission earnings
- incentive compensation
- discretionary bonuses
- other short and long-term incentive packages
- other Morgan Stanley sponsored benefit programs
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
