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Hadoop Administrator (6-10 years) in Bengaluru at Crescendo Global

Date Posted: 10/20/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Bengaluru
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    10/20/2018

Job Description

An exciting techno-functional job opportunity with an Analytics giant for a professional holding at least 3 years as Hadoop Admin  Our distinguished client is looking for smart, pliable admin who is keen to develop their career into Big Data and Analytics. You will lead implementation and development of our client product from scratch and work on cutting edge technology such as Hadoop/ Big Data , Cloudera, Hortonworks 

Location:- Bangalore 

Your Employer:- A leading, global firm providing creative and strategic analytics, IT and consulting solutions for the entire enterprise value chain.

Responsiblities:-
  • Implementing and supporting the Enterprise Hadoop environment.
  • Designing, capacity arrangement, cluster set up, performance fine-tuning, monitoring, structure planning, scaling and administration.
  • Working closely with infrastructure, network, database, business intelligence and application teams to ensure business applications are highly available and performing within agreed on service levels. 
  • Implementing concepts of Hadoop eco system such as YARN, MapReduce, HDFS, HBase, Zookeeper, Pig and Hive.
  • Installing, administering, and supporting Windows and Linux operating systems in an enterprise environment.
  • Accountable for storage, performance tuning and volume management of Hadoop clusters and MapReduce routines.
  • Commanding of setup, configuration and security for Hadoop clusters using Kerberos.
  • Monitoring Hadoop cluster connectivity and performance.
  • Managing and analyzing Hadoop log files.


Job Requirements

  • 4-10 Years Of strong Hadoop/ Big Data experience with Enterprise Data ware housing experience
  • Well versed with Hadoop challenges related to scaling and self-service analytics
  • Well versed with Cloudera distributions, hands on experience required for both distributions.
  • Well versed with Kafka, hive, spark, hbase and latest developments in the Hadoop eco system
  • Excellent knowledge of Hadoop integration points with enterprise BI and EDW tools
  • Strong Experience with Hadoop cluster management/ administration/ operations using Oozie, Yarn, Ambari, Zookeeper, Tez, Slider
  • Strong Experience with Hadoop ETL/ Data Ingestion: Sqoop, Flume, Hive, Spark, Hbase
  • Strong experience on SQL
  • Good to have Experience in Real Time Data Ingestion using Kafka, Storm, Spark or Complex Event Processing (CEP)
  • Experience in Hadoop Data Consumption and Other Components: Hive, Hue HBase, Phoenix, Spark, Mahout, Pig, Impala, Presto
  • Experience monitoring, troubleshooting and tuning services and applications and operational expertise such as good troubleshooting skills, understanding of systems capacity, bottlenecks, and basics of memory, CPU, OS, storage, and networks.
  • Should be able to take the lead and interact with US team members with minimal supervision
  • Bachelor's Degree in Computer Science, Information Science, Information Technology or Engineering/ Related Field
  • Good communication skills across distributed team environment
  • Must be self-motivated, responsive, professional and dedicated to customer succes

What is in Store for You?
  • A meritocratic culture with great career progression.
  • Fast track career growth.
  • Work in a dynamic environment for an established research and analytics brand and their Fortune 500 clients.

Reach us At:
If you think this role will add value to your career, kindly write me an email along with your updated CV on Janardhanmeetei@crescendogroup.in or contact me on 7888445359 for a confidential discussion on the role.

Disclaimer:-
Crescendo Global is an ISO 9001:2015 certified, equal opportunity Leadership Hiring consulting firm. Crescendo Global consultants value diversity in the talent they identify for its Global and Fortune 500 clients. Crescendo Global does not discriminate on the basis of race, religion, colour, origin, gender, sexual orientation, age, marital status, veteran status or disability status.