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- Tasks: Join us as a Snowflake Data Engineer, building and maintaining data pipelines and warehouses.
- Company: Cortex AI is at the forefront of AI-driven business insights and decision-making.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of an innovative team that leverages cutting-edge technology to make impactful decisions.
- Qualifications: 5+ years in data engineering, strong Python skills, and experience with AWS and containerization.
- Other info: Ideal for those passionate about AI and data-driven solutions.
The predicted salary is between 48000 - 84000 £ per year.
Required Skills:
• 5+ yrs of experience as Data engineer
• Design, build, and maintain large-scale data pipelines, data warehouses, and data lakes on Snowflake, leveraging Cortex AI to drive business insights and decision-making
• Proficiency in Cortex and AWS Services.
• Strong programming skills in Python, experience in Streamlit
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with data processing and ETL workflows.
• Excellent problem-solving and analytical skills.
• Ability to work collaboratively in a team environment.
Preferred Qualifications:
• Experience with conversational AI projects.
• Knowledge of machine learning and AI concepts
• Familiarity with data visualization tools Tableau, Power BI etc. #J-18808-Ljbffr
Snowflake Data Engineer - Cortex AI employer: E-Solutions
Contact Detail:
E-Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer - Cortex AI
✨Tip Number 1
Make sure to showcase your experience with Snowflake and Cortex AI in any conversations you have. Be prepared to discuss specific projects where you've designed and maintained data pipelines, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Brush up on your Python skills and be ready to share examples of how you've used it in data engineering tasks. If you can, prepare a small demo or code snippet that highlights your programming abilities, especially in relation to Streamlit.
✨Tip Number 3
Familiarise yourself with containerization technologies like Docker and Kubernetes. Being able to discuss how you've implemented these tools in past projects will set you apart from other candidates.
✨Tip Number 4
If you have experience with conversational AI or machine learning, make sure to mention it during interviews. This knowledge can be a significant advantage, especially since it's listed as a preferred qualification.
We think you need these skills to ace Snowflake Data Engineer - Cortex AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience as a Data Engineer. Emphasise your skills in designing and maintaining data pipelines, data warehouses, and data lakes specifically on Snowflake, as well as your proficiency in Cortex AI.
Showcase Relevant Skills: In your application, clearly outline your programming skills in Python and any experience with Streamlit. Mention your familiarity with containerization technologies like Docker and Kubernetes, as these are crucial for the role.
Highlight Problem-Solving Abilities: Provide examples of how you've used your analytical skills to solve complex problems in previous roles. This will demonstrate your capability to tackle challenges effectively in a team environment.
Include Additional Qualifications: If you have experience with conversational AI projects or knowledge of machine learning concepts, make sure to include these in your application. Also, mention any familiarity with data visualisation tools like Tableau or Power BI, as they are preferred qualifications.
How to prepare for a job interview at E-Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, Cortex AI, and AWS services in detail. Highlight specific projects where you've designed and built data pipelines or warehouses, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect to encounter technical questions that assess your analytical skills. Prepare examples of complex problems you've solved in previous roles, particularly those involving data processing and ETL workflows, to illustrate your thought process and approach.
✨Emphasise Team Collaboration
Since the role requires working collaboratively, share experiences where you've successfully worked in a team environment. Discuss how you contributed to group projects and how you handled any conflicts or differing opinions within the team.
✨Familiarity with Tools and Technologies
Brush up on your knowledge of containerization technologies like Docker and Kubernetes, as well as data visualisation tools such as Tableau and Power BI. Be ready to discuss how you've used these tools in past projects and their impact on your work.
