The Bloomberg Query Language (BQL) team is leading the low-latency analytics space in the financial domain. We are developing a cloud-based, low-latency Analytics and Screening Platform for huge financial data sets. We are also creating a Financial Query Language to allow users to express complex data retrieval, analytics and screening for processing on the BQL Platform, and provides screening capabilities.

The BQL team is looking for a Senior Automation Lead and QA Engineer to help build a Python-based test framework and to leverage it for automated testing and data quality assurance. The team is engaged in architecting and designing the entire ecosystem for a low-latency Analytics Platform and Screening Engine. We are building a Python test framework for the automated testing and quality assurance of the entire eco-system.

We expect you to:

• Design and Build out the Python-based test framework
• Test the distributed Analytics Platforms using the Python-based test framework
• Outline the test strategy for functional testing as well as data quality testing
• Build and execute tests consistent with those strategies
• Participate in our daily scrums, and help establish a Test Driven Development approach for the development teams
• Craft and conduct performance and load tests using tools such as JMeter to ensure the Platform performs and scales appropriately
• Strategize and conduct integration, system, regression, performance, functional and non-functional tests of cloud based low latency analytics platform

You'll need to have:

• 3+ years' experience in test engineering
• BA, BS, MS, PhD in Computer Science, Engineering or related technology field

If this sounds like you, apply!