Qubole, the leading cloud-agnostic, big data-as-a-service provider, is passionate about making data-driven insights easily accessible to anyone. Qubole delivers the industry’s first autonomous data platform. The cloud-based data platform, Qubole Data Service (QDS), removes the burden of maintaining infrastructure of multiple big data processing engines, and enables customers to focus on their data. Qubole customers process nearly an exabyte of data every month. Qubole investors include Charles River, Institutional Venture Partners, Lightspeed, Norwest, Harmony and Singtel Innov8.
We are looking for a Quality Assurance engineer for our ODBC/JDBC drivers team. Qubole publishes its own ODBC and JDBC drivers to connect to Qubole from various BI tools. We also support enhanced integration with several popular BI tools such as Tableau, PowerBI, Looker, etc.
Test Engineer in this role will be involved in ensuring the quality of our ODBC and JDBC releases. This person will be involved in building test automation infrastructure and qualification of releases - and also have the opportunity to build internal and operational tools. In addition, this role will also require close interaction with the Partners Integration Team for testing each Driver Release against various supported BI tools.
Understand the design of software systems related to Big Data Engineering and SQL - Presto, Hive, Spark, Hadoop.
Excellent troubleshooting skills of systems integrated with multiple backends and architectures
Experience in performance testing and benchmarking of such systems
Design and Develop test frameworks and automation infrastructure (such as Jenkins) for running JDBC and ODBC drivers on the cloud .
Programming experience in Python and Java
Exposure to the Unix environment
Degree in Computer Science.