At a Glance
- Tasks: Design and build data pipelines on AWS using PySpark and SQL.
- Company: Whitehall Resources, a leading tech firm in Greater London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement.
- Why this job: Join a dynamic team and work with cutting-edge cloud technologies.
- Qualifications: Experience with AWS, PySpark, and Agile methodologies required.
The predicted salary is between 50000 - 65000 £ per year.
Whitehall Resources in Greater London is looking for a Data Engineer to design production-grade data pipelines on AWS using PySpark and SQL. The role involves migrating legacy workloads, supporting reporting initiatives, and practicing CI/CD in an Agile environment.
The ideal candidate should have:
- Expertise in AWS
- Hands-on experience with PySpark
- Familiarity with data warehousing methodologies
- Experience with Git/GitLab for version control
- Knowledge of Agile methodologies
Cloud Data Engineer (PySpark/AWS) for Modern ETL & Pipelines employer: Whitehall Resources
Whitehall Resources is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer continuous learning opportunities and support for professional development, ensuring our team members thrive in their careers. Our commitment to innovation and excellence in data engineering, combined with the vibrant city environment, makes us an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer (PySpark/AWS) for Modern ETL & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PySpark and AWS. 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, especially around data pipelines and CI/CD practices. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Cloud Data Engineer (PySpark/AWS) for Modern ETL & Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, PySpark, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Agile Experience:Since we work in an Agile environment, it’s important to mention any experience you have with Agile methodologies. Share examples of how you’ve contributed to CI/CD processes or worked in sprints to deliver results.
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 don’t miss out on any updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Whitehall Resources
✨Know Your Tech Inside Out
Make sure you brush up on your AWS and PySpark skills before the interview. Be ready to discuss specific projects where you've designed data pipelines or migrated workloads, as this will show your hands-on experience and expertise.
✨Showcase Your Agile Mindset
Since the role involves working in an Agile environment, be prepared to talk about your experience with Agile methodologies. Share examples of how you've contributed to CI/CD processes and how you adapt to changing requirements.
✨Familiarise Yourself with Data Warehousing
Understanding data warehousing methodologies is key for this position. Brush up on concepts like ETL processes and data modelling, and be ready to explain how you've applied these in your previous roles.
✨Demonstrate Version Control Knowledge
As version control is essential for this role, make sure you can discuss your experience with Git or GitLab. Highlight any specific challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills.
