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For Companies At a Glance
- Tasks: Design and implement data pipelines, ensuring data integrity and accessibility.
- Company: Join a forward-thinking tech company focused on data solutions.
- Benefits: Enjoy remote work flexibility and a competitive salary of GBP 75k PA.
- Why this job: Be part of a dynamic team shaping the future of data engineering.
- Qualifications: Proficient in PySpark, AWS, Python, SQL, and ETL pipeline design.
- Other info: Ideal for tech-savvy individuals eager to innovate in cloud 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 PySpark & AWS employer: Athsai
Contact Detail:
Athsai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer PySpark & AWS
✨Tip Number 1
Familiarise yourself with the latest features and updates in PySpark and AWS. This will not only enhance your technical knowledge but also show us that you're proactive and passionate about staying current in the field.
✨Tip Number 2
Engage with the data engineering community through forums, webinars, or local meetups. Networking can lead to valuable insights and connections that might help you stand out during the hiring process.
✨Tip Number 3
Consider building a small project that showcases your skills in designing ETL pipelines using PySpark and AWS. Having a tangible example of your work can make a strong impression on us during discussions.
✨Tip Number 4
Brush up on your knowledge of CI/CD workflows and Terraform, as these are crucial for the role. Being able to discuss your experience with these tools confidently can set you apart from other candidates.
We think you need these skills to ace Data Engineer PySpark & 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 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 experience with PySpark, AWS, and ETL pipelines in detail. Bring examples of projects you've worked on that highlight your proficiency in these areas, as well as any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when debugging or designing data pipelines, as this will show your analytical capabilities and how you approach complex issues.
✨Familiarise Yourself with CI/CD Workflows
Since the role involves setting up CI/CD workflows using GitHub Actions, be ready to discuss your experience with these tools. Highlight any specific instances where you implemented CI/CD processes and the impact they had on project delivery.
✨Understand Data Governance Standards
While not mandatory, having knowledge of data governance and compliance standards can set you apart. Brush up on relevant regulations and best practices, and be prepared to discuss how you would ensure data integrity and compliance in your work.
