Skills: Java & Hadoop
Hands-on experience on Hadoop based implementations involving HDFS, MapReduce and Hive or equivalent SQL on Hadoop technology.
Working experience on Apache Spark 2.0 using Scala. Adequate knowledge on Data Frames,Spark SQL and Spark Streaming
Should have worked on Core Java - OOPS,Exception Handling, Collections
Excellent hands on J2EE skills like JSP, Servlets,JDBC, XML, Web services REST, SOAP, Spring framework, Pattern implementations
Excellent problem solving and analytical skills.
Job Responsibilities / Role:
Responsible to work on Product Engineering or with implementation team
Develop Spark based applications using Scala
Develop core / peripheral applications using Java/J2EE, Spring framework and RESTFUL webservices
Ensure quality of code by implementing code quality tools like SONAR, Check style, PMD etc.
Document detailed application specifications, translate technical requirements into programmed application modules Unit testing, resolve code-related issues and deployment of implemented solution
Participate in project/agile planning sessions to analyze business requirements and implement the proposed solution.
Good to have experience on NoSQL Db e.g. -
HBase, Cassandra and MongoDB
Good to have experience on Apache Kafka,
Apache Storm, Flink, Data Torrent Knowledge of public cloud services like AWS and Azure
Experience working with technology and business teams within an Agile/Scrum.
Experience with collaborative on- and off-shore development teams.
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