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Sr . Big Data Engineer

5.00 to 6.00 Years   Vishakhapatnam   25 Feb, 2020
innData Analytics
Job LocationVishakhapatnam
EducationNot Mentioned
SalaryNot Disclosed
IndustryKPO / Analytics
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Roles and Responsibilities :

  • Design implement new components and various emerging technologies in Hadoop Eco System, and successful execution of various projects.
  • Integrate external data sources and create data lake/data mart.
  • Integrate machine learning models on real-time input data stream.
  • Collaborate with various cross-functional teams: infrastructure, network, database.
  • Work with various teams to set up new Hadoop users, security and platform governance which should be pci-dss complaint.
  • Create and executive capacity planning strategy process for the Hadoop platform.
  • Monitor job performances, file system/disk-space management, cluster database connectivity, log files, management of backup/security and troubleshooting various user issues.
  • Design, implement, test and document performance benchmarking strategy for the platform as well for each use cases.
  • Drive customer communication during critical events and participate/lead various operational improvement initiatives.
  • Responsible for setup, administration, and monitoring, tuning, optimizing, governing Large Scale
  • Hadoop Cluster and Hadoop components: On-Premise/Cloud to meet high availability/uptime requirements.- 2-4 years relevant experience in BIG DATA.
  • Exposure to Cloudera/Hortonworks production implementations.
  • Knowledge of Linux and shell scripting is a must.
  • Sound knowledge on Python or Scala.
  • Sound knowledge on Spark, HDFS/HIVE/HBASE
  • Thorough understanding of Hadoop, Spark, and ecosystem components.
  • Must be proficient with data ingestion tools like sqoop, flume, talend, and Kafka.
  • Candidates having knowledge on Machine Learning using Spark will be given preference.
  • Knowledge of Spark Hadoop is a must.
  • Knowledge of AWS and Google Cloud Platform and their various components is preferable.
,

Keyskills :
linux aws pci eco hadoop set hive java dss perationalimprovement apachewebserver performancebenchmarking machinelearning emergingtechnologies bigdata capacityplanning googlecloudplatform shellscripting pcidss customercommunication

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