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(2+ Years) "BigTapp" Hiring: System Admin On June 2018 @ Chennai



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Company:        BigTapp

Website:           www.bigtappanalytics.com

Eligibility:        BE / B.Tech / MCA / MSc

Experience:       2+ yrs

Location:           Chennai

Job Role:         System Admin – Cloud & Hadoop Support

JOB SUMMARY:

Company Profile:

BigTapp’s Big "InFo ActiV" platform enables creation of Business Analytics applications and deploy on Cloud to enable rapid realisation of business benefits. A suite of Big Data Business Analytics applications developed using the platform under the overarching theme of Customer Value Management enables BigTapp’s customers to get immediate business benefits.

Job Description:
1. Principally responsible for implementation and ongoing administration of Big Data infrastructure

2. Work as part of our operational team and participate in and provide expertise to development teams

3. Ensure Big Data environment is secure, healthy, backed up, and ready for all contingencies

4. Monitor and troubleshoot Big Data clusters using a variety of open source and proprietary toolsets

5. Manage user and group access to various Big Data resources

6. Data capacity and node forecasting and planning

7. Perform operating system, service level, and application updates, patches etc.

8. Evaluate and propose new tools and technologies to meet the needs of the organization

9. Deploying, managing, and operating scalable, highly available, and fault tolerant systems on AWS

Candidate Profile:
Education:
BE / B.Tech Graduates / MCA / or MSc (CS or IT) from reputed institutes.

Experience: 2 years in system admin and 2+ years of experience in installing, configuring, monitoring, and administering large Hadoop clusters.

Required Skills:
1. Experience or strong understanding of Hadoop architecture including HDFS, Hadoop MapReduce, Hive, Oozie, HBase, Hue and ZooKeeper.

2. Understanding of open source messaging systems and complex event processors including Flume, Kafka, Storm and multiple JMS implementations (ActiveMQ, RabbitMQ, etc).

3. Strong understanding of best practices and standards for Hadoop application design and implementation.

4. Strong knowledge of Linux, OS level file system and network troubleshooting.

5. Expertise in at least one enterprise-scale RDBMS.

6. Experience running a monitoring system — and participating in an on-call rotation.

7. Experience in Design and deploy in AWS.

8. Migrating an existing on-premises multi-tier application to AWS.

9. Implementing and controlling the flow of data to and from AWS.

 













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