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- Tasks: Join a team of engineers to create frameworks and manage code releases for Snowflake Datawarehouse.
- Company: Be part of a dynamic tech company focused on innovative data solutions.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Dive into exciting projects with cutting-edge technology and make a real impact in data management.
- Qualifications: Experience with Data Vault modeling, Snowflake, and programming skills in Python or Java required.
- Other info: Strong communication skills are essential; drive your own delivery and collaborate effectively.
The predicted salary is between 43200 - 72000 £ per year.
Snowflake Datawarehouse Engineer
This role will work on Snowflake Datawarehouse with other engineers in creating frameworks and manage code releases based on the DV models published/updated. This role does not require hands on modeling experience as the expectation is not to model. The expectation is continuous Code delivery (as frameworks) by understanding the models existing/being built for which Data Vault understanding/experience is must.
Primary.- Python/pyspark, Snowflake Datawarehousing with Data Vault modeling, DBT, CI/CD – critical to have hands on experience on programming skills.
Secondary – Data Management concepts, AWS
Critcal soft skill – Strong communication and individual should be able to drive the delivery themselves.
Order of skill priority
1. Data warehousing and Data Vault Modelling
2. Snowflake
3. Programming languages Python/Java/Pyspark
4. Terraform
5. CI/CD
6. AWS as a platform (or equivalent cloud tech with knowledge/understanding AWS)
Someone with expertise in one and awareness of the other among Data Vault and Terraform should be ok. It's not just terraform but any Infrastructure as a Code or CI/CD pipeline building experience.
Senior Data Warehouse Engineer employer: PRACYVA
Contact Detail:
PRACYVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Warehouse Engineer
✨Tip Number 1
Make sure to showcase your experience with Snowflake and Data Vault modeling in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your expertise and understanding of the role.
✨Tip Number 2
Brush up on your programming skills, especially in Python and PySpark. Be prepared to discuss how you've used these languages in previous roles to deliver code frameworks or manage CI/CD pipelines.
✨Tip Number 3
Since strong communication is a critical soft skill for this position, practice articulating your thoughts clearly and confidently. Prepare to explain complex technical concepts in a way that is easy to understand for non-technical stakeholders.
✨Tip Number 4
Familiarize yourself with Infrastructure as Code principles and tools like Terraform. Even if you don't have extensive experience, showing awareness and a willingness to learn can set you apart from other candidates.
We think you need these skills to ace Senior Data Warehouse Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Senior Data Warehouse Engineer position. Familiarize yourself with Snowflake, Data Vault modeling, and the programming languages mentioned in the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your hands-on experience with Snowflake, Python, and CI/CD processes. Provide specific examples of projects where you've successfully delivered code frameworks or managed code releases.
Showcase Communication Skills: Since strong communication is a critical soft skill for this role, include examples in your application that demonstrate your ability to drive delivery and collaborate effectively with other engineers.
Tailor Your Application: Customize your CV and cover letter to reflect the order of skill priority listed in the job description. Make sure to clearly outline your expertise in Data Warehousing and Data Vault Modeling, followed by your knowledge of Snowflake and programming languages.
How to prepare for a job interview at PRACYVA
✨Showcase Your Data Vault Knowledge
Make sure to highlight your understanding of Data Vault modeling during the interview. Be prepared to discuss how you've applied this knowledge in previous projects and how it relates to the frameworks you'll be working on.
✨Demonstrate Your Programming Skills
Since hands-on programming is critical for this role, come ready to discuss your experience with Python, PySpark, and any other relevant languages. You might even be asked to solve a coding problem, so brush up on your skills!
✨Familiarize Yourself with Snowflake
As Snowflake is a key component of this role, ensure you understand its architecture and features. Be prepared to discuss how you've used Snowflake in past projects and how it integrates with Data Vault.
✨Communicate Effectively
Strong communication skills are essential for driving delivery. Practice articulating your thoughts clearly and concisely, and be ready to explain complex technical concepts in a way that non-technical stakeholders can understand.
