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- Tasks: Develop and optimise Snowflake solutions while managing storage and costs.
- Company: Join a dynamic tech company in Liverpool, leading in data solutions.
- Benefits: Enjoy hybrid work options and flexible contract terms.
- Why this job: Be part of an innovative team shaping the future of data management.
- Qualifications: Experience with Snowflake, security models, and Streamlit development required.
- Other info: Opportunity to work on AI model generation and pipeline automation.
The predicted salary is between 36000 - 60000 £ per year.
Location: Liverpool, UK (Hybrid)
Employment type: Contract
Job Description:
- Experienced with Snowflake
- Understand Snowflake Security model and implementation of RBAC
- Experience implementing SIEM
- Experienced with Streamlit development
- Snowflake Storage & cost utilisation and management
- Query Optimisation on Snowflake
Nice to haves:
- Pipeline automation capabilities with Snowflake
- Integration to GIT hub
- AI Model generation capability
Snowflake Developer employer: Insight International Ltd
Contact Detail:
Insight International Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Developer
✨Tip Number 1
Familiarise yourself with the Snowflake Security model and RBAC implementation. Consider creating a small project or case study that showcases your understanding of these concepts, as practical examples can really impress during discussions.
✨Tip Number 2
Brush up on your Streamlit development skills. You might want to build a simple application that integrates with Snowflake to demonstrate your ability to create user-friendly interfaces for data visualisation.
✨Tip Number 3
Gain hands-on experience with Snowflake's cost management features. Prepare to discuss how you've optimised storage and query performance in past projects, as this will show your practical knowledge and problem-solving skills.
✨Tip Number 4
If you have experience with pipeline automation and GitHub integration, be ready to share specific examples of how you've implemented these in previous roles. This will highlight your technical versatility and readiness for the job.
We think you need these skills to ace Snowflake Developer
Some tips for your application 🫡
Understand the Role: Make sure you thoroughly understand the responsibilities and requirements of a Snowflake Developer. Familiarise yourself with Snowflake's security model, RBAC implementation, and other essential skills mentioned in the job description.
Tailor Your CV: Highlight your experience with Snowflake, Streamlit development, and any relevant projects. Be specific about your achievements in query optimisation and cost management to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Mention your familiarity with pipeline automation and integration with GitHub, as well as any AI model generation capabilities you possess.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial for a technical role like this.
How to prepare for a job interview at Insight International Ltd
✨Showcase Your Snowflake Expertise
Be prepared to discuss your experience with Snowflake in detail. Highlight specific projects where you've implemented the Snowflake security model and RBAC, as well as any challenges you faced and how you overcame them.
✨Demonstrate Query Optimisation Skills
Expect questions on query optimisation techniques within Snowflake. Prepare examples of how you've improved performance and reduced costs through effective query management.
✨Discuss Streamlit Development
If you have experience with Streamlit, be ready to explain how you've used it in conjunction with Snowflake. Share any applications you've developed and the impact they had on data visualisation or reporting.
✨Highlight Automation and Integration Experience
If you've worked on pipeline automation or integrated Snowflake with GitHub, make sure to mention this. Discuss the tools and processes you used, and how they contributed to efficiency in your previous roles.
