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Big Data Delivery Architect

3.00 to 0.00 Years   Bangalore   18 Mar, 2020
Capgemini
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

  • Hands on big data architecture end to end project execution
  • 14+ years of software development experience building large scale distributed data processing systems/application or large scale internet systems
  • Experience of at least 3 years 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
  • Work closely with Operations team to size, scale and tune existing and new architecture.
  • 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
  • Should be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them
  • Should be able to clearly articulate pros and cons of various technologies and platforms
  • Should be able to document use cases, solutions and recommendations
  • Must have good knowledge on third party tools supporting big data
  • Must possess good knowledge on NoSQL database systems
,

Keyskills :
datamanagement dataarchitecture softwaredevelopment etl ssl pig eco hive yarn agile scala nosql hbase igdata usecases dataprocessing spectrummanagement map spark

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