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For Companies At a Glance
- Tasks: Design and implement data pipelines to ensure data integrity and accessibility.
- Company: Join a forward-thinking company that values innovation and data-driven decisions.
- Benefits: Enjoy remote work flexibility and a competitive salary of £75k PA.
- Why this job: Be part of a dynamic team shaping the future of data engineering with cutting-edge technology.
- Qualifications: Proficient in PySpark, AWS, Python, SQL, and ETL pipeline design.
- Other info: Ideal for tech-savvy individuals eager to work with cloud-native services.
The predicted salary is between 60000 - 84000 £ per year.
About the Role
The Data Engineer will play a crucial role in designing and implementing robust data pipelines, ensuring the integrity and accessibility of data across various platforms.
Required Skills
- Proficient in PySpark and AWS
- Strong experience in designing, implementing, and debugging ETL pipelines
- Expertise in Python, PySpark, and SQL
- In-depth knowledge of Spark and Airflow
- Experience in designing data pipelines using cloud-native services on AWS
- Extensive knowledge of AWS services
- Experience in deploying AWS resources using Terraform
- Hands-on experience in setting up CI/CD workflows using GitHub Actions
Preferred Skills
- Experience with additional cloud platforms
- Familiarity with data governance and compliance standards
Pay range and compensation package: GBP 75k PA REMOTE in UK
Data Engineer AWS employer: Athsai
Contact Detail:
Athsai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer AWS
✨Tip Number 1
Network with professionals in the data engineering field, especially those who work with AWS. Attend meetups or webinars to connect with potential colleagues and learn about their experiences at companies like ours.
✨Tip Number 2
Showcase your hands-on experience with AWS services by contributing to open-source projects or building your own projects. This practical experience can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the latest trends and updates in data engineering, particularly around PySpark and ETL processes. Being knowledgeable about current best practices can impress us during discussions.
✨Tip Number 4
Prepare to discuss your experience with CI/CD workflows and Terraform in detail. We value candidates who can articulate their technical skills and how they’ve applied them in real-world scenarios.
We think you need these skills to ace Data Engineer AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, AWS, and ETL pipelines. Use specific examples to demonstrate your expertise in Python, SQL, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the role. Mention your experience with cloud-native services and CI/CD workflows, as these are key aspects of the job.
Showcase Relevant Projects: If you have worked on projects involving Spark, Airflow, or Terraform, be sure to include these in your application. Describe your role and the impact of your contributions to demonstrate your hands-on experience.
Highlight Continuous Learning: Mention any courses, certifications, or workshops related to AWS or data governance that you've completed. This shows your commitment to staying updated in the field and can set you apart from other candidates.
How to prepare for a job interview at Athsai
✨Showcase Your Technical Skills
Be prepared to discuss your experience with PySpark, AWS, and ETL pipelines in detail. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Needs
Research the company’s data architecture and any specific challenges they might face. This will allow you to tailor your answers and show how your skills can directly address their needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data pipelines or AWS services. Practice articulating your thought process clearly, as this will showcase your problem-solving abilities.
✨Demonstrate Your CI/CD Knowledge
Since the role involves setting up CI/CD workflows, be ready to discuss your experience with GitHub Actions and Terraform. Highlight any specific instances where you improved deployment processes or ensured data integrity through automation.
