building horizontally scalable software using Cloud-native development or Container Orchestration tools such as Kubernetes Spring Framework including Core, Integration, Batch, JDBC, Hibernate. Databases - RDBMS preferably Oracle, NoSQL preferably MongoDB. Familiarity with Linux environment including scripting skills. SDLC/Dev Ops - Git/BitBucket, CI/CD pipeline frameworks such More ❯
Knowledge of handling high data volumes (ETL) using Spring Batch, Multi-Threading, Job Scheduling. • Solid knowledge of SQL in the context of a major RDBMS such as DB2, Oracle. • Exposure and hands on in Microservices, Distributed Cache (REDIS, Couchbase) and Cloud technologies • Good to have knowledge and experience in Big More ❯
data interchange format/definition such as XML, JSON. Microservices systems Kubernetes/Open shift containers. Familiar with different persistent storage technologies such as RDBMS and NoSQL. Experience working with source code management tools - Git or Bitbucket. Good understanding of clean coding principles. Must demonstrate strong familiarity of design patterns. More ❯
clearly and influence C-level stakeholders (such as IOT, edge processing, event driven data architectures, serverless processing, file system, object, document, key-value, search, RDBMS, graph, cognitive services, machine learning). Proven experience being accountable for designing, building and productionising modern data or AI intensive applications, including systems that are More ❯
