Details:

Job Description and Responsibilities:

- Experience in architecting Big Data solution at enterprise scale with at least one end to end implementation

- Strong understanding & experience of Hadoop eco system such as HDFS, MapReduce, Yarn, Spark, Scala, Hive, HBase, Phoenix, Zookeeper, Pig, Hadoop streaming, Sqoop 

- Knowledge of Hadoop Security, Data Management and Governance

- Ability to articulate pros & cons of TO-BE design/architecture decisions across a wide spectrum of factors

- Experience working in core development Big Data projects, Should be able to perform hands-on development activities particularly in Spark, HBase / Cassandra, Hive, Shell Scripts.

- Responsible for designing, developing, testing, tuning and building a large-scale data processing system

- Troubleshoot and develop on Hadoop technologies including HDFS, Hive, HBase, Phoenix, Spark, Scala Map Reduce and Hadoop ETL development via tools such as Talend

-  Must have strong knowledge on Hadoop security components like Kerberos, SSL, and Encryption using TDE etc.

- Ability to engage in senior-level technology discussions. 

- The ideal candidate is pro-active, shows an ability to see the big picture and can prioritize the right work items in order to optimize the overall team output.

- Should have worked in agile environments and good to have exposure to Devops

- Excellent oral and written communications skills

- Hadoop Certified Developer/Architect will have added advantage

Min. Qualification:

ug

Skills Required:

bigdata, hadoop, hdfs, hive, mapreduce, pig, Scala, spark