- 5-9 years of related work experience.
- 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 quick-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.