Big Data Engineer

• Design, development and testing of components / modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a datalake architecture
• Contribute to the design, development and deployment of new features & new components in Azure public cloud
• Contribute to the evolution of REST APIs in TOP enhancement, development and testing of new APIs
• Ensure the processes in TOP provide an optimal performance and assist in performance tuning and optimization
• Release & Deployment – Deploy using CD/CI practices and tools in various environments – development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed
• Follow Agile@Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira.
• Organize training sessions on the core platform and related technologies for the Tribe / Business line to ensure the platform evolution is continuously updated to relevant stakeholders

Profile Required: ACE can help you write this job description (go/ACE)

• Around 2-4 years of experience in IT industry, preferably banking domain
• Expertise and experience in Java (java 1.8 (building API, Java thread, collections, Streaming, dependency injection/inversion), Junit, Big-data (Spark, Oozie, Hive) and Azure (AKS, CLI, Event, Key valut) and should have been part of digital transformation initiatives with knowledge of Unix, SQL/RDBMS and Monitoring
• Development experience in REST APIs
• Experience in managing tools – GIT/BIT Bucket, Jenkins, NPM, Docket/Kubernetes, Jira, Sonar
• Knowledge of Agile practices and Agile@Scale
• Good communication / collaboration skills