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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Software Engineer – Talend/Big Data
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Software Engineer – Talend/Big Data

Hcl Singapore Pte. Ltd.

Hcl Singapore Pte. Ltd. company logo

Responsibilities

  • Create development standards based on Talend best practices / experience and lead other developers in implementation of these standards.
  • Mentoring other developers who have less experience in Talend / Big Data.
  • Support solution architect by leading ELT architecture design based on Talend and Big Data best practices / experience.
  • Coordinating with BAs / Mappers and Project Management in planning change requests / defect fixes during project implementation and BAU phases.
  • Advising BAs / Mappers on how mappings would be efficiently implemented in code to ensure optimal design.
  • 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.
  • 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.
  • Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
  • Able to self-learn/ pick up application setup and support from vendor.
  • Maintains awareness of industry trends on regulatory compliance, emerging threats, and technologies in order to understand the risk and better safeguard the company.
  • Highlights any potential concerns /risks and proactively shares best risk management practices.

Skills Requirements

  • Bachelor’s degree in Information Technology/Computer Science/Programming & Systems Analysis or related course.
  • Talend Big Data version 7+ version : 4-7 years of relevant experience.
  • Advanced knowledge of Oracle SQL, PL/SQL and Experience in Oracle supplied packages, Dynamic SQL, collections, Records and PL/SQL Tables.
  • Experience in developing Complex database objects like Stored Procedures, Functions, Packages and Triggers using SQL and PL/SQL.
  • Advanced knowledge of Big Data Talend and experience on Talend components like tHive*, Thdfs*, tOracle*, tFilterRow, tAggregateRow, tMap, tNormalize, tDenormalize, tSortRow, tSampleRow, tFilelist and tReplicate, tOracleInput, tOracleOutput, tOracleConnection, tOracleOutputBulkExec etc.
  • Good technical skills in UNIX shell scripting and scheduling.
  • Experience of Hadoop (Hortonworks), development exposure in Spark and Hive; especially Spark version 2.
  • Exposure in Data Warehousing.
  • 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.
  • 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.
  • Talend Big Data Integration and Big Data (Hadoop) developer certifications.
  • Knowledge of computing, software design, use of parameterization, database and security concepts.
  • Knowledge of best practices of data related or coding disciplines.
  • Familiar with regulatory, security and industry guidelines.

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