Cognizant | is Hiring | Bigdata Developer/ Engineer | BigDataKB.com | 06-04-22

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Job Location: Malaysia

Roles and Responsibilities

  • Provide and develop production grade Talend Big Data jobs with considerations on meeting the IT organizations architecture standards
  • Work closely with data modelers/ system analysts on the required data interface/ requirement specifications
  • Conduct technical session/ clarification with data modelers and sub-system teams prior solution design, coding and unit testing
  • Document and review design of Talend Big Data jobs and interface specification
  • Implement error and exception handling
  • Import jobs to Talend Data Catalogue
  • Integrate Talend jobs with Autosys and restart failed jobs from Autosys
  • Perform technical impact assessment, source code release and deployment checklist
  • Work effectively with peers and vendors to develop, setup and support IFRS17 application and data integration
  • Support SIT and UAT activities e.g. perform defect analysis, troubleshooting and fixing
  • Coordinate and support Performance and Security Testing activities e.g. environment setup and test scope
  • Coordinate with infrastructure team on deployment and related activities

Working Experience

i. Data Warehousing experience: 4 years minimum

ii. 3+ years working experience of Hadoop (Hortonworks) developer exp in Spark and Hive; especially Spark version 2

iii. Talend Big Data version 4+ Developer experience: having 2-3 years working exp in

deploying code to production

iv. 2+ years working exp in Talend Big Data version 7 on Hadoop

v. Experience designing Talend job orchestration through enterprise workload automation tool like Control-M; preferably Autosys.

vii. Have development experience using Java, PL/SQL, SQL, Python, Scala with good knowledge of data models and data flows

Perks and Benefits

  • Exclusively onsite opportunity.
  • Visa process and approval will be given to candidates.
  • Flight tickets will also be provided
  • Two weeks accommodation free

Apply Here

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