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全职 SAS Data Engineer, Data - Analytics, Technology Consulting 工作, 薪水 up to SGD 5,000, EY 公司招聘中 - Ricebowl

SAS Data Engineer, Data - Analytics, Technology Consulting

SGD3,000 - SGD5,000 每月

Singapore

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工作地点

  • Singapore Singapore

职位描述

岗位职责

 Your key responsibilities

  • Strong analytical and problem-solving skills
  • Strong drive to excel professionally, and to guide and motivate others
  • Advanced written and verbal communication skills
  • Dedicated, innovative, resourceful, analytical and able to work under pressure
  • Foster an efficient, innovative and team-oriented work environment

Skills and attributes for success

  • Experience in ETL, Data Engineering, Scripting.
  • Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
  • Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
  • Exceptional communication, documentation and presentation skills and stakeholder management experiences
  • Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role you must have

  • 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) , Viya platforms (VI and VA) and Data Integration (DI) are required
  • Minimum 2yr experience in SAS application maintenance and SAS Management Console (SMC)
  • Minimum 2yrs experience in dealing large data sets in Greenplum / Hadoop / Oracle / DB2
  • Dashboarding experience with tableau / power BI / SAS VA is desirable
  • Experience in shell /batch scripting
  • Application packaging and deployment experience across DEV to PROD environments
  • Experience in maintenance reporting and managing change / service requests.

Ideally, you'll also have

  • Experience in engaging with both technical and non-technical stakeholders
  • Consulting experience and background, including engaging directly with clients
  • Degree in Computer Science or IT or Business Analytics

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