freehire launches on Product Hunt on 26 August.

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SAS Data Engineer, Data & Analytics, Technology Consulting

Summary

Build and maintain SAS-based data pipelines and analytics platforms for enterprise clients, focusing on ETL, data warehousing, and BI solutions using SAS tools like BASE, EG, and Viya.

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, ing.
  • 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 ingestion
  • 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

See also