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