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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.
✨Tip Number 2
Showcase your hands-on experience with AWS services by contributing to open-source projects or creating 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 during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to Python, SQL, and data pipeline design. Use platforms like LeetCode or HackerRank to sharpen your skills before applying.
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 for this position.
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 highlight your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Athsai
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in PySpark, AWS, and SQL. Bring examples of past projects where you designed and implemented ETL pipelines, as this will demonstrate your hands-on experience and technical 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 cloud services. Practice articulating your thought process clearly, as this will showcase your problem-solving abilities.
✨Familiarise Yourself with CI/CD Practices
Since the role involves setting up CI/CD workflows using GitHub Actions, be ready to discuss your experience with these practices. Highlight any relevant projects where you successfully implemented CI/CD processes.
