Apache Hadoop, Apache Spark, Java, Web services
Full Time
Depends on Experience
Travel not required
• Deep understanding of modern data processing technology stacks: Spark, HBase and other Hadoop ecosystem technologies. Development using Scala is a plus.
• Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing
• Experience with developing software that processes, persists and distributes data via relational and non-relational technologies:
• Hadoop ecosystem and architecture
• Distributed data processing (Apache Spark, Storm)
• Java frameworks – Akka, Spring Boot, Spring
• NoSQL databases (Hbase, Neo4J, Cassandra, MongoDB)
• Data exchange formats (JSON, XML, RDF)
• RDBMS (Oracle) development
• Experience developing JVM-based (Scala/Java) applications using:
• Middleware & distributed messaging - Kafka, Tibco EMS
• In-memory data grids and caches – Gemfire(Optional)
• Web service implementation – REST, SOAP, service definition
• Serverless & Application Server – POJO, Weblogic and WebSphere
• Experience with CI/CD build pipelines and toolchain – Git, BitBucket, TeamCity, Artifactory, Jira
• Experience with testing concepts (TDD, BDD) and frameworks (Cucumber, Selenium, Junit)
• Knowledge of Operating Systems and familiar with shell scripting