Position requires: Algorithms, data structures, object-oriented design, and design patterns; Programming languages including Java, JavaScript, Python, TypeScript, and GoLang; Full-stack web development; Full-stack mobile development; Cloud-native architectures; hands-on with Docker, Kubernetes, Jenkins, Git/GitHub, and CICD pipelines; SQL and noSQL databases including SQL, PL/SQL, MySQL, PostgreSQL, DynamoDB, MongoDB, Elastic Search, and Redis; Building distributed and scalable applications; AWS, GCP, and cloud platforms; Applied machine learning and natural language processing (NLP) techniques including sentiment analysis, decision-tree models, text classification, and text analytics; and, ETL, data warehousing, and OLAP processing including SSIS, SSAS, multidimensional modeling, KPIs, and analytics workflows. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle''s differing products, industries and lines of business.