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  Evoke Technologies Pvt. Ltd. Job Openings

hadoop job openings in Hyderabad

[5-8 Year(s) Exp]
Evoke Technologies Pvt. Ltd.
Experience : 5-8 Years
Job Type : full-time
Key skills : Hadoop 
Job Description :

  • Proficient understanding of distributed computing principles
  • Management of Hadoop cluster, with all included services
  • Ability to solve any ongoing issues with operating the cluster
  • Proficiency with Hadoop v2, MapReduce, HDFS, Spark
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Knowledge of various ETL techniques and frameworks, such as Flume, Sqoop etc
  • Experience with various messaging systems, such as Kafka or RabbitMQ
  • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • Good understanding of Lambda Architecture, along with its advantages and drawbacks
  • Experience with one or more frameworks such as Cloudera/MapR/Hortonworks
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Experience with integration of data from multiple data sources

If interested, Please send your profile to msarana@evoketechnologies.com .

Role Category: hadoop developer
Educational Qualification: MSC , MCA , M.Tech , B.Tech
Functional Area: IT Software - Application Programming, Maintenance
Job Posted On May. 19, 2017
Company Details
Company Address :

Not Specified

Company Website : http://www.evoketechnologies.com/
Company Profile :

Evoke Technologies is an innovative IT services firm offering value-driven software services. Our IT services help global enterprises improve their software systems using our innovative and proven global delivery model. We have been actively assisting our clients to constantly innovate and remain competitive in the global environment. Our emphasis remains on core software technology practices, which helps us to consistently maintain quality standards in our key deliverables.

Venue Location: Not Specified

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