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SAS Data Engineer, Data & Analytics, Technology Consulting

Summary

Build and maintain SAS-based ETL pipelines and data warehouses for clients, using SAS BASE, EG, ESP, VA, Viya, and DI tools.

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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