Certified SAS Expert / Data Engineer

Deadline 14 June, 2021 Position Ref: 1936
Skills Required

Agile SAS Visual Analytics (VA) Data Warehouses SAS SAS Enterprise Guide SAS visual Statistics




Your tasks:

  • Design and implement the data engineering solutions;
  • Design and implement data modelling, interfaces definition, technical and functional documentation;
  • Design, analyse, and implement of Business Intelligence components such as Data Warehouses, Data Lakes, Data Marts, ETLs, Reporting Tools, Analytics, Data Mining Tools;
  • Design and implement data cleansing, data preparation or other type’s data processing solutions using the available SAS, Oracle or other tools;
  • Write code, debug, test and improve;
  • Work in an agile/iterative way such as participate in drafting the backlog, user stories, definition of the sprints;
  • Follow up, coordinate and facilitate all data manipulation activities and initiatives;
  • Collect business requirements and interact with the business users;
  • Provide support and training on data manipulation and processing to the different stakeholders;
  • Draft and/or review technical requirements for a data analytics environment, both in terms of hardware and software and creation of functional architecture for a data analytics environment;
  • Contribute to the planning of related activities;
  • Draft progress and technical reports;
  • Follow-up on IT delivery, including the activities of external contractors;
  • Signal risks and propose measures to mitigate those risks;
  • Coordinate the stakeholders such as business users, infrastructure team.


  • University degree in IT or a related field with minimum 13 years of professional IT experience;
  • Any of the following SAS certifications: SAS Certified Base programming specialist, SAS Certified Advanced Programming Professional, SAS Certified Clinical Trials Programmer, SAS Certified Data Scientist, SAS Certified Advanced Analytics Professional, SAS Certified Predictive Modeller;
  • Expert knowledge with a minimum of 5 years of experience with the SAS tools (SAS Vaya, SAS Enterprise guide, SAS Visual Analytics);
  • Minimum 5 years of expert knowledge in SAS programming language;
  • Expert knowledge with a minimum of 5 years of experience on identifying performance bottlenecks when working with big data, including in the non-SAS database layer, as well as tuning the SAS tools and code for better performance;
  • Expert knowledge with a minimum of 5 years of experience of database programming & data modelling;
  • A database programming certification shall be considered an asset;
  • Expert knowledge with a minimum of 5 years of experience on Data Warehousing techniques, designs and implementation;
  • Minimum 5 years’ experience in implementing projects in an agile way;
  • Minimum 3 years’ experience in estimating the hardware requirements needed to ensure the performance requirements of big data projects;
  • Minimum 3 years’ experience in gathering requirements from the business users, preparing test data and executing test cases interacting with the business users;
  • Minimum 3 years’ experience in working on projects involving a large number of stakeholders;
  • Ability to draft functional and technical documents, reports;
  • A background in statistics and experience with the SAS statistical functions are considered to be an asset;
  • Experience with other big data tools and languages (R, Python, Stata) is considered to be an asset.
  • Excellent command of English.





1 Years

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