Technical Lead Engineer (Full Stack/Big Data)

Job Description

Are you an experienced Technical Lead Engineer with a strong focus on delivery and passionate about leading-edge modern core Java, data platforms and cloud technologies Do you thrive in developing micro services that can be used by vast and diverse business and technology stakeholders Do you recognize data as an asset We are looking for a hands-on Technical Lead engineer in the Group Compliance & Regulatory Governance (GCRG) IT team to: develop microservices over and alongside a big data solution that will further enable our data strategy collaborate on proof-of-concepts, pilots, minimum viable products, business cases and quality control work with solution architects and CTOs across the group to drive a common reusable components partner with other IT teams to enable and drive deployment of other microservices support our microservices and product deployments in swiss and globally with our internal customers ensure adoption of data architecture best practices; while adhering to financial services policies and standardsYour Career ComebackWe are open to applications from career returners. Find out more about our program on ubs.com/careercomeback .Your teamYou ll be working in the GCRG and GIA IT team based globally. Our team is building microservice based components to enhance the cloud based data platform. Primarily you will build microservices that will be part of data quality platform requirements and build capabilities that will further the build out of a common data lake such as streaming and eventing. Eventually the Data Platform enable the data strategy for Reporting, Analytics, AI and Data Science platform. Our applications are integrated with other systems so its important that in this role, you will be able to collaborate with other IT teams located across the globe.You ll combine your technical vision, analytical, communication and leadership skills to drive the design, development and implementation of big data systems. You ll translate business requirements into the appropriate data models, processing frameworks and data workflows that can integrate disparate data sources into an enterprise data lake.You ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems., in-depth experience in managing large scale (enterprise-wide) multi-year cross functional implementation projects possess strong communication, presentation and engagement skills, be able to adapt, quick learner, and be able to provide technical expertise across a wide range of technology deliver design patterns for data platform and managing the surrounding usage of data platform through microservices (10+ years), strong architecture experience in data management practices with traditional approaches (i.e. ETL, RDBMS, data warehousing and big data) professional experience in Cloud managed services (such as SaaS, DBaaS and PaaS) environments, preferably in Azure experience working across the full software development lifecycle on multiple enterprise scale development projects concurrently in Waterfall, Iterative, Kanban and Agile environments while delivering with DevOps, automated testing on tools used to support CI and release management knowledge in the following key areas: Financial Services - Capital Markets, Regulatory Rules, and Trade Surveillance analytics, preferably in delivering applications to support Compliance & Operational Risk platform (preferable: cross border data handling), (5+ years) professional experience in executing and monitoring various key procedural IT risk controls in key procedural areas such as authentication, authorization, access management, software development life cycle, change & release management, platform security, network security, security monitoring, capacity management, process monitoring & incident management, IT asset management, IT disaster recovery management, record management, data security & governance, physical security and backup, (5 Years) experience as lead engineer in Spark/Big Data surrounding microservices environment in a globally distributed team (preferably on Azure Databricks, Azure Event Hub, Kubernetes) experience with UI frameworks (i.e. React preferred)

Keyskills :
chip integrationdensitylayout designsramsoftware development life cycleit asset managementit riskbig datacore java