Cloud Data Engineer: ETL Pipelines on AWS
Cloud Data Engineer: ETL Pipelines on AWS

Cloud Data Engineer: ETL Pipelines on AWS

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement robust ETL pipelines using AWS, PySpark, Python, and SQL.
  • Company: Forward-thinking company in the UK with a focus on innovation.
  • Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
  • Why this job: Make a real impact by driving data-informed decisions with modern cloud technologies.
  • Qualifications: Experience with cloud-native solutions and CI/CD is essential.
  • Other info: Join a dynamic team that values collaboration and innovation.

The predicted salary is between 36000 - 60000 £ per year.

A forward-thinking company in the United Kingdom is seeking a talented Data Engineer to design and implement robust ETL pipelines. You will work with modern cloud technologies on AWS, leveraging PySpark, Python, and SQL to handle large data sets. This role offers a collaborative environment where you can make a real impact. If you have experience with cloud-native solutions and CI/CD, apply to join a team that drives data-informed decisions.

Cloud Data Engineer: ETL Pipelines on AWS employer: Athsai

Join a forward-thinking company in the United Kingdom that values innovation and collaboration, offering a dynamic work culture where your contributions as a Cloud Data Engineer will directly influence data-driven decisions. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and cutting-edge technologies, making this an ideal environment for those looking to advance their careers while working on impactful projects.
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Contact Detail:

Athsai Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Cloud Data Engineer: ETL Pipelines on AWS

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your ETL pipelines and any projects you've done with AWS, PySpark, or SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with cloud-native solutions and CI/CD. We recommend practising common interview questions to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to make an impact in our collaborative environment.

We think you need these skills to ace Cloud Data Engineer: ETL Pipelines on AWS

ETL Pipeline Design
AWS
PySpark
Python
SQL
Cloud-Native Solutions
CI/CD
Data Handling
Collaboration Skills
Data-Informed Decision Making

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with ETL pipelines, AWS, and the tech stack mentioned in the job description. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past work with cloud technologies and CI/CD.

Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical applications of your skills, especially with PySpark and Python!

Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!

How to prepare for a job interview at Athsai

✨Know Your Tech Stack

Make sure you’re well-versed in AWS, PySpark, Python, and SQL. Brush up on your knowledge of ETL processes and be ready to discuss how you've implemented these technologies in past projects. This will show that you can hit the ground running.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced while working with large data sets. Think about how you approached these problems and the solutions you implemented. This will demonstrate your analytical thinking and ability to make data-informed decisions.

✨Familiarise Yourself with CI/CD Practices

Since the role involves cloud-native solutions, be ready to talk about your experience with Continuous Integration and Continuous Deployment. Highlight any tools or frameworks you’ve used and how they improved your workflow. This shows you’re not just a coder but someone who understands the full development lifecycle.

✨Emphasise Collaboration

This position is all about teamwork, so think of examples where you’ve successfully collaborated with others. Whether it’s cross-functional teams or mentoring junior developers, showing that you can work well with others will resonate with the interviewers.

Cloud Data Engineer: ETL Pipelines on AWS
Athsai

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