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SAS Developer / Lead (12-month Contract)

Singapore

What will you do?

  • Design and implement relevant data models in the form of data marts stored in Operational Data Stores, Data Warehouses or Big Data platforms
  • Build data pipelines to bring information from source systems, harmonise and cleanse data to support analytics initiatives for core business metrics and performance trends.
  • Perform data profiling to understand data quality and advise practical measures to address such data issues through data transformation and data loading
  • Dive into company data to identify sources and features that will drive business objectives.
  • Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
  • Bring your experience and ideas to effective and innovative engineering, design and strategy
  • Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
  • The range of accountability, responsibility and autonomy will depend on your experience and seniority, including:
  • Contributing to our internal networks and special interest groups
  • Mentoring to upskill peers and juniors, guiding the SAS interns of the team

The ideal candidate should be / possess: 

  • Possess good communications skills to understand our customers’ core business objectives and build end-to-end data centric solutions to address them
  • Good critical thinking and problem-solving abilities
  • 3 years of relevant IT software experience relating to data integration/ETL and data warehousing implementation. Experience needs to include data mapping, ETL development and testing.
  • Mininum 2 years development experience with implementing ETL solution in SAS Data Integrator.
  • Hands-on experience for other SAS Tools will be an added advantage
    • SAS Enterprise Miner
    • SAS Enterprise Guide
    • SAS Visual Analytics
    • SAS Viya
  • Has knowledge in Windows and Unix environments
  • Ability to be flexible enough to work for extended hours and on weekends as needed to handle high priority issues, production recoveries, provide support to infrastructure releases.
  • Possesses excellent communication skills and demonstrates ability to communicate effectively with both technical and non-technical individuals.
  • Good Team Player, quick learner and self-starter who requires minimal supervision
  • Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management
  • Large scale data loading experience moving enterprise or operational data from source systems to new applications or data analytics solutions
  • Familiar with other Big Data platforms and/or other ETL tools and products on the market

Chin (Reg No. R21100141)

We regret that only shortlisted candidates will be notified.