Database & Data Engineering Specialist Python Hybrid - Morgan Stanley

We’re seeking someone to join our Data Obfuscation team as a Database & Data Engineering Specialist (Python) to design and deliver scalable, secure, and reusable data platforms and services that support enterprise data protection and obfuscation initiatives.

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 Cybersecurity Engineering III position at Associate level, which is part of the job family responsible providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities.

Since 1935, Morgan Stanley is known as a global leader in financial services, always

evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

Design and develop resilient on-prem and multi-cloud database solutions

Develop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s threading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments.

Deliver secure and performant database capabilities that accelerate all data-driven teams while enforcing governance and reliability at scale

Design and build automation and tooling to enable firmwide data engineering and application development teams, helping them to optimize data processing based on their specific database platforms and user needs

Contribute to strategic initiatives around system modernization, platform standardization, observability and cost efficiency

Design, develop and maintain innovative scalable solutions to optimize complex data pipelines including ETL processes

Develop solutions leveraging database backup and restore methods, DDL generation and manipulation, database access management and permission hierarchy, schema and object level high performance data movement

Build solutions with push down optimization, ELT, Spark based data processing and streaming, replication, partitioning, clustering, change data capture and time travel

What you'll bring to the role:

4+ years of proven track record in designing and implementing complex database and data solutions

Strong expertise in database engineering in multiple database platforms in various environments (eg PostgreSQL, DB2, SQL Server, Sybase, Snowflake, AzureSQL, MongoDB. Teradata, Oracle etc)