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- Tasks: Design and manage data solutions using Snowflake and collaborate on exciting data projects.
- Company: Join a forward-thinking company at the forefront of cloud technology.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Why this job: Be part of a team that drives innovation in data engineering and analytics.
- Qualifications: Experience with SQL, Snowflake, and a passion for data science and machine learning.
- Other info: Dynamic work environment with opportunities to grow and learn new technologies.
The predicted salary is between 28800 - 48000 £ per year.
- Possess good knowledge in Cloud computing
- Very good working knowledge in data models viz Dimensional Data Model, ER Data Model and Data Vault
- Very good working knowledge in writing SQL queries
- Very good working knowledge in Snowflake Architecture
- Very good working knowledge in Snowflake internals like Snowflake Roles, dynamic tables, streams and tasks, policies etc.
- Very good working experience in data-related projects or applications
- Good working knowledge in GitLab
- Good working knowledge in Python
- Good working knowledge in Data Science and Machine Learning
- Good working knowledge in data management and data governance
- Good working experience in managing product owners and stakeholders
- Very good team player, positive attitude and proactive
- Self-initiator, collaborator and willing to learn new technologies/concepts
Nice to Have:
- Good working knowledge in SQL Server or Oracle or both
- Good working knowledge in investment banking and finance
- Good working knowledge in Statistics
- Good working knowledge in Power BI
- Ability to work in multiple projects
Snowflake Data Engineer employer: PRIMUS Global Technologies Pvt Ltd
Contact Detail:
PRIMUS Global Technologies Pvt Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Snowflake or data engineering. 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 SQL queries, data models, and any projects you've worked on. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on Snowflake internals and data governance. Be ready to discuss how you've managed stakeholders and collaborated in teams. We want to see your proactive attitude shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Snowflake Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your knowledge in Cloud computing, SQL queries, and Snowflake Architecture. We want to see how your experience aligns with the job description, so don’t hold back!
Be Specific: When detailing your past projects, be specific about your role and contributions. We love seeing concrete examples of how you've managed stakeholders or worked on data-related applications.
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t be afraid to let your personality shine through. A positive attitude and a bit of flair can make your application stand out!
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 the role!
How to prepare for a job interview at PRIMUS Global Technologies Pvt Ltd
✨Know Your Snowflake Inside Out
Make sure you brush up on your knowledge of Snowflake Architecture and its internals. Be ready to discuss Snowflake Roles, dynamic tables, streams, tasks, and policies. The more confident you are in these areas, the better you'll impress your interviewers.
✨SQL Queries Are Your Best Friend
Since writing SQL queries is a key part of the role, practice crafting complex queries beforehand. Prepare to showcase your skills by solving sample problems or discussing past projects where you used SQL effectively.
✨Show Off Your Data Modelling Skills
Familiarise yourself with different data models like Dimensional Data Model, ER Data Model, and Data Vault. Be prepared to explain how you've applied these models in previous projects and how they can benefit the company.
✨Be a Team Player
Highlight your experience in managing product owners and stakeholders. Share examples of how you've collaborated with teams and contributed positively to group projects. A proactive attitude and willingness to learn will definitely set you apart!