Job description

In this role, you will work with existing data analysts and subject matter experts in all parts of the insurance business to deploy complex analytics to enable business to make better decisions. As part of this dynamic role, you will work closely with business units and other IT teams to deliver leading edge predictive and prescriptive analytics to enable digital capabilities of Prudential Singapore.


  • Design and develop ETL jobs using SQL, SSIS, Azure, and big data technologies
  • Responsible for end to end data processing from source data ingestion, data modelling, data mapping and transformation, and data delivery to downstream consuming systems
  • Provide support for various types of testing, including SIT, UAT, ORT and other testing if necessary
  • Comply with PACS SDLC process, architectural standards, and security policies in all delivery work
  • Collaborate with relevant stakeholders (including business users, project team members, and cross functional teams) from all Prudential entities across the region to deliver approved solutions that meet the business requirements on time, on cost, and with quality
  • Deliver documentation artefacts per SDLC requirements, such as technical specs, data model and data dictionary, interface specs, data mapping specs, test cases and summary, deployment guide, production support guide, etc.

Who we are looking for:

  • Competent in 3 or more areas of the following technology:Databases: RDBMS, SQL programming
    ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service (SSIS), SAS Data Integration
  • Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
  • Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
    BI/Dashboarding: SAS Visual Analytics, Qliksense
  • Working Experience 3-8 years in data engineering and modelling
  • Hands on in managing data mapping, data quality and integrity, performance in data processing, etc
    Experience in insurance domain (e.g. LifeAsia system) is an advantage
  • Experience in Agile software development
  • EducationBachelor in Computer Science, Computer Engineering or equivalent
  • Personal TraitsProactive with can-do attitude
  • Independent and self-motivated
  • Able to work under pressure to meet tight timeline
  • Able to provide regular updates

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