Description
• Provide and develop production grade Talend Big Data jobs with considerations on meeting the IT organization's 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
• Validate built conformance to required specifications
• Able to self-learn/ pick up application setup and support from vendor
• 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
• Provide enhancement and production support after project go live
Requirements
Data Warehousing experience: 4 years minimum
• 3+ years working experience of Hadoop (Hortonworks) developer experience in Spark and Hive; especially Spark version 2
• Talend Big Data version 7+ Developer experience: having 3-5 years working experience deploying code to production
• 2+ years working experience in Talend Big Data version 7 on Hadoop
• Experience designing Talend job orchestration through enterprise workload automation tool like Control-M; preferably Autosys
• Working knowledge of Hortonworks data platform for data ingestions frameworks from multiple source systems e.g. AS400, Oracle Finance, MS SQL, etc.
• Have development experience using Java, PL/SQL, SQL, Python, Scala with good knowledge of data models and data flows with strong understanding of dimensional and relational databases, including: stored procedures, constraints, normalization, indexes, and security
• Insurance and financial reporting domain knowledge will be an advantage
