Strong hands-on programming experience in Java and Big Data frameworks (Spark or Kafka)
Strong hold on system design and ability to develop highly reliable, fault-tolerant distributed applications with a heavy emphasis on performance and scale in the Cloud.
Demonstrated understanding of fast-paced Agile principles with technical designs, iterative development, and code reviews.
Well-versed with building high quality software using the industry proven practices 12 factor app, reactive manifesto, and CI/CD.
Building microservices using Spring/Spring-boot framework including Spring JPA, Spring Batch, Spring Security, Spring Cloud, Spring Data Stream etc.
Experience working with Distributed Databases such as Azure CosmosDB, Couchbase, and MongoDB.
Experience working with Relational Databases such as MySQL or PostgreSQL.
Experience working with Distributed Caching solutions such as Memcached, Redis, and Hazelcast.
Experience working with Distributed Messaging solutions such Azure EventHub, Apache Kafka, and Solace.
Experience building and optimizing production grade data pipelines (stream processing and batch) to prepare datasets at scale for data analysis, modeling, and optimization.
