At a Glance
- Tasks: Design and optimise data pipelines using AWS Glue and PySpark.
- Company: Leading recruitment agency supporting a university's data transformation.
- Benefits: Competitive daily rate and remote work for three months.
- Why this job: Join a transformative project and enhance your skills in cloud technologies.
- Qualifications: Strong background in data workflows and modern cloud tech.
- Other info: Exciting opportunity to work on a high-impact data platform.
The predicted salary is between 500 - 1500 £ per month.
A leading recruitment agency is supporting a university's data platform transformation by looking for a Data Engineer. This role involves designing and optimizing data pipelines using AWS Glue and PySpark, ensuring high standards in data processing and quality.
The ideal candidate will have a strong background in data workflows and modern cloud technologies, and will be responsible for integrating data from multiple systems.
This is a remote role for a project expected to last approximately three months with a competitive daily rate.
Remote AWS Data Engineer - PySpark & Glue ETL Specialist in North East employer: Real Staffing
Contact Detail:
Real Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AWS Data Engineer - PySpark & Glue ETL Specialist in North East
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and PySpark. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects involving AWS Glue and PySpark. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data pipeline design and optimisation techniques. Practise explaining your thought process clearly, as communication is key in remote roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote AWS Data Engineer - PySpark & Glue ETL Specialist in North East
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS Glue and PySpark. We want to see how you've designed and optimised data pipelines in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how your skills align with our project needs. Keep it concise but impactful.
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve integrating data from multiple systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Real Staffing
✨Know Your Tech Inside Out
Make sure you brush up on AWS Glue and PySpark before the interview. Be ready to discuss your experience with these tools, including specific projects where you've designed or optimised data pipelines. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data workflows. Think of examples where you had to troubleshoot issues or improve data quality. This will show that you can handle the complexities of integrating data from multiple systems.
✨Understand the Project Scope
Familiarise yourself with the university's data platform transformation goals. Research their current data practices and think about how your skills can contribute to their success. This shows initiative and a genuine interest in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team structure, project timelines, or the technologies they plan to use. This not only demonstrates your enthusiasm but also helps you gauge if the role is the right fit for you.