SAS and SQL Migration Developer | IT Recruitment

  • Contract
  • Remote

Qualifications:

  • 3-year diploma or higher in the related field of study, for example Computer Science or Information Technology.

 

Experience Required

  • At least 5 years’ experience as a SAS Engineer with experience in development and maintenance support.
  • Experience with SAS BASE, Enterprise Guide (EG), Event Stream Processing (ESP), Visual Analytics (VA) and Data Integration (DI) are required.
  • Minimum 2yr experience in SAS application maintenance and SAS Management Console (SMC).
  • Experience in dealing with large data sets in Hadoop / Oracle / DB2.
  • Expertise in troubleshooting and debugging skills.
  • Knowledge of Unix and/or Linux operating systems.
  • Experience in shell /batch scripting.
  • Application packaging and deployment experience across DEV to PROD environments.
  • Experience in maintenance reporting and managing change / service requests.
  • Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches).
  • Dashboarding experience with Power BI is desirable.
  • Expertise in troubleshooting and debugging skills.
  • Exceptional communication, documentation, and presentation skills.
  • Telecommunications experience.
  • Strong communication skill within a client-facing environment is essential.
  • The ability to engage with confidence across the organisation structures is a key advantage.
  • Needs to be self-driven, ability to work under pressure, by meeting deadlines effectively and efficiently.

 

Responsibilities:

  • Enable and drive data migrations across different data lake platforms within different technologies, for example Oracle, SAS and Big data.
  • Perform ad-hoc analysis of data from organization databases, write SQL scripts, procedures, packages, functions, and views.
  • Develop SAS processes following existing standard structures and macros.
  • Perform unit, system and regression testing for SAS programs for quality assurance.
  • Continually identify deficiencies in production processes, propose enhancements, and implement those enhancements to increase productivity or reduce manual effort.
  • Assist the testing team to develop test plans to verify logic of new or modified programs.
  • Maintain organizational intellectual property through documenting of solutions on the organization’s wiki platform.
  • Adopt a proactive approach to prevent problems from arising in the future.
  • Collaborate with assigned business units to understand their business intelligence needs and devise possible solutions.
  • Participate in design and peer reviews.
  • Work together with key business unit stakeholders to prioritize projects and data requests.
  • Create ad-hoc reports/data extracts from organization database.
  • Interpret data and develop relevant recommendations based on data analysis findings
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