The TMS (Transaction Management System) team is an integral part of Bloomberg’s enterprise Trading and Order Management Systems delivering front-office inventory, portfolio, sales and trading, and middle and back office solutions to both the Buy and Sell-Side financial community. Our clients are some of the largest financial institutions in the world who need a reliable platform to run their trading operations.

In TMS we are on a mission to provide a scalable Enterprise Trading Platform across multiple markets for greater transparency of business transaction events and enhanced analytical capability bringing transparency to position, P&L and trade life-cycle events.

What's in it for you:

• Developing construct, test and maintain architectures for OLTP databases and large scale data processing systems
• Working in a highly collaborative environment that allows you to recommend and implement ways to improve data reliability, efficiency, and quality
• An opportunity to understand business use cases and collaborate with application teams to write efficient DB queries to meet SLO

We'll trust you to:

• Ensure that the architecture that is in place supports the requirements of the business.
• Develop data set processes for data modeling, mining, and production.
• Run ETL (Extract, Transform and Load) on top of big datasets and create big data warehouses that can be used for reporting or analysis
• Have extensive knowledge on SQL/NoSQL databases and best engineering practices. These include:
• Handling and logging errors, monitoring the system
• Building human-fault-tolerant data pipelines
• Understanding what is necessary to scale up
• Addressing continuous integration
• Knowledge of database administration
• Maintaining data cleaning, and ensuring a deterministic pipeline.

You'll need to have:

• 5+ years experience developing low-latency SQL queries and stored procedures
• 5+ years experience working on high volume OLTP systems in Postgres or Oracle
• Working knowledge of scripting languages such as Shell, Python
• Expertise in SQL performance tuning
• Strong problem solving skills

We'd love to see:

• Data modeling or DBA experience
• Finance domain knowledge