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- Tasks: Design and maintain robust data pipelines using Snowflake on AWS.
- Company: Leading data engineering firm based in the UK.
- Benefits: Competitive salary, professional development, and client interaction opportunities.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: 5+ years in data engineering with expertise in Snowflake, AWS, SQL, and Python.
- Other info: Office-based role in Basildon with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A data engineering firm based in the UK is seeking a Snowflake Architect to design and maintain robust data pipelines using Snowflake on AWS. The successful candidate will have at least 5 years of experience in data engineering, focusing on Snowflake, AWS, and be proficient in SQL and Python. This position requires strong problem-solving skills, and the ability to implement effective data warehousing solutions. The role is office-based in Basildon, UK, with additional client interactions.
Senior Snowflake Data Architect | AWS ETL & Warehousing in Basildon employer: Stanley David and Associates
Contact Detail:
Stanley David and Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Snowflake Data Architect | AWS ETL & Warehousing in Basildon
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake and AWS. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects with Snowflake and AWS. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to tackle real-world problems and demonstrate your problem-solving abilities during technical assessments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed directly by our hiring team.
We think you need these skills to ace Senior Snowflake Data Architect | AWS ETL & Warehousing in Basildon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, SQL, and Python. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Snowflake Data Architect role. Share specific examples of your problem-solving skills and successful data warehousing solutions.
Showcase Your Experience: With at least 5 years in data engineering, we want to see what you've accomplished! Highlight your previous roles and any significant projects that demonstrate your expertise in building robust data pipelines.
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 important updates during the process!
How to prepare for a job interview at Stanley David and Associates
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge. Be ready to discuss your experience with designing and maintaining data pipelines, as well as any specific projects you've worked on. Highlight how you've tackled challenges in previous roles using Snowflake.
✨Show Off Your AWS Skills
Since this role is focused on AWS, be prepared to talk about your experience with AWS services related to data warehousing and ETL processes. Have examples ready that demonstrate how you've effectively used AWS tools to solve data engineering problems.
✨SQL and Python Proficiency
You’ll want to showcase your SQL and Python skills during the interview. Prepare to answer technical questions or even solve coding challenges on the spot. Practice writing queries and scripts that could be relevant to the job.
✨Problem-Solving Scenarios
Expect to face some problem-solving scenarios during the interview. Think of past experiences where you had to troubleshoot issues or optimise data workflows. Be ready to explain your thought process and the steps you took to resolve those challenges.
