At a Glance
- Tasks: Lead the migration of SAS workloads to a cloud data platform and ensure operational continuity.
- Company: Atos, a leader in tech solutions with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team and mentor the next generation of SAS engineers.
- Why this job: Be at the forefront of cloud technology and make a significant impact on major projects.
- Qualifications: Proven experience in SAS and strong leadership skills in technical environments.
The predicted salary is between 58500 - 71500 £ per year.
Atos is seeking an experienced SAS Subject Matter Expert to lead technical leadership across Discovery, Alpha and Beta phases of a major cloud migration programme. You will ensure SAS workloads are re-platformed onto a cloud data platform with data integrity and operational continuity.
Working with architects, data engineers and delivery teams, you will define migration strategies, validate solutions, and transfer knowledge to operations, while mentoring SAS engineers throughout the project.
SAS SME — Cloud Analytics Migration Lead in Wideopen employer: Atos
Atos is an excellent employer for Senior Full-Stack Engineers, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor fellow engineers, all while working in a cutting-edge environment that values your contributions to scalable AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land SAS SME — Cloud Analytics Migration Lead in Wideopen
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Atos.
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We think you need these skills to ace SAS SME — Cloud Analytics Migration Lead in Wideopen
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Atos, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Atos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Atos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Atos!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
