Starburst Engineer

Job Description

Do you want to build your software engineering skills whilst creating really impactful applicationsAre you interested in being part of an externally recognized engineering community with personal development at its coreWould you like to join a team that gives back to the community and engages with a diverse group of people We re looking for software engineers to: Design and maintain data pipelines using Starburst and related technologies. Optimize query performance and resolve data processing bottlenecks. Manage databases to ensure high availability reliability and security. Integrate Starburst with various data sources including cloud services and APIs. Monitor data pipelines and troubleshoot issues proactively. Collaborate with data scientists analysts and stakeholders on data requirements. Maintain comprehensive and up-to-date documentation for data processes. Stay current with data engineering advancements and propose innovative solutions. Implement best practices for data quality assurance and testing. Demonstrate experience with Python and data access (Numpy, Scipy, panda etc.), machine learning (Tensorflow etc.), and AI libraries (Chat GTP etc.) Have experience working with distributed systems, clustering, and replication technologies. Through the engineering guilds you ll become engaged in sharing and discussing knowledge with your peers and with staff networks you ll get involved in a wide range of volunteering and cultural topics. Once you ve met your team and joined our certified engineers development program, you ll also be able to become engaged in sharing and discussing knowledge with your peers through our engineering guilds and take part in a wide range of volunteering and cultural events and topics through our internal networks. software engineer/developer focused on cloud-based data virtualization and data delivery technologies minimum 2 Years experience working with Starburst develop, optimize, and maintain Starburst Enterprise queries for data processing and analytics. integrate Starburst with various data sources (e.g., cloud storage, relational databases, data lakes). solid understanding of Spark, Trino(Presto) or related technologies. able to code in Python within distributed computing systems such as databricks is added advantage(knowledge of PySpark) capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (i.e. AGILE SDLC) 3+ years of hands-on experience in developing large scale applications using data virtualization and/or data streaming technologies. UBS is the world s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries.