Data Engineer (SAS Expert)

Company:
Location: 1000 Brussels

*** Mention DataYoshi when applying ***

Are you seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual, and multicultural environment where you can expect real chances to make a difference?


Look no further, we have an offer for you!

Our client, leading Software, Information, and Communication Technologies company, with offices around the globe, is looking to hire a Data Engineer (SAS Expert) to join their innovative team in Brussels, Belgium. They are a renowned supplier of IT services to government institutions, multinational corporations, public administrations, and multinational companies, research, and academic institutes.

Job Type: Contract/ Consultant


Requirements

Requirements:

  • University degree in IT or a related field with minimum 13 years of professional IT experience

  • Fluent in English

  • 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)

  • 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

  • 5+ years’ experience in implementing projects in an agile way

  • 3+ years’ experience in estimating the hardware requirements needed to ensure the performance requirements of big data projects

  • 3+ years’ experience in gathering requirements from the business users, preparing test data and executing test cases interacting with the business users

  • 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.

Responsibilities:

  • 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.

Application Deadline: 13 June 2021

All CV’s to be submitted in English

Do we spark your interest? Apply today!

Requirements: University degree in IT or a related field with minimum 13 years of professional IT experience Fluent in English 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) 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 5+ years’ experience in implementing projects in an agile way 3+ years’ experience in estimating the hardware requirements needed to ensure the performance requirements of big data projects 3+ years’ experience in gathering requirements from the business users, preparing test data and executing test cases interacting with the business users 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. Responsibilities: 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. Application Deadline: 13 June 2021 All CV’s to be submitted in English Do we spark your interest? Apply today!

*** Mention DataYoshi when applying ***

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