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- Tasks: Build and scale a cloud data warehouse using Amazon Redshift and develop ELT pipelines.
- Company: Leading health and wellness retailer in the UK with a focus on innovation.
- Benefits: Hybrid working, health plans, and exclusive employee discounts.
- Why this job: Join a dynamic team and make a significant impact in health and wellness.
- Qualifications: Strong experience in cloud data warehousing, advanced SQL, and Python proficiency.
- Other info: Exciting opportunities for career growth in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading health and wellness retailer in the UK is seeking a Senior Data Warehousing Engineer. This role involves building and scaling their cloud data warehouse using Amazon Redshift, integrating diverse data sources, and developing ELT pipelines.
Candidates should have strong experience in cloud data warehousing, advanced SQL skills, and proficiency in Python.
The position offers hybrid working, and employees enjoy various benefits including health plans and discounts.
Senior Cloud Data Warehouse Engineer (Redshift & ELT) employer: Holland & Barrett
Contact Detail:
Holland & Barrett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud Data Warehouse Engineer (Redshift & ELT)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to cloud data warehousing, make sure to highlight them. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.
✨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, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Cloud Data Warehouse Engineer (Redshift & ELT)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Amazon Redshift and ELT pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your advanced SQL and Python expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data warehousing and how you can contribute to our mission in the health and wellness sector. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool projects involving cloud data warehousing or ELT processes, make sure to mention them. We love seeing real-world applications of your skills, so share those success stories!
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’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Holland & Barrett
✨Know Your Tech Inside Out
Make sure you brush up on your Amazon Redshift and ELT pipeline knowledge. Be ready to discuss your previous projects and how you've integrated diverse data sources. The more specific examples you can provide, the better!
✨Show Off Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem on the spot, so practice writing queries that showcase your ability to manipulate and analyse data effectively.
✨Python Proficiency is Key
Since Python is essential for this role, be prepared to talk about your experience with it. Think of specific instances where you've used Python in data warehousing or ELT processes, and be ready to explain your thought process.
✨Embrace the Hybrid Work Culture
Familiarise yourself with hybrid working dynamics. Be ready to discuss how you manage your time and productivity when working remotely, as well as how you collaborate with teams in a hybrid environment.
