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- Tasks: Design and maintain secure data pipelines using Snowflake and collaborate on innovative data solutions.
- Company: Join NTT DATA, a leader in Data & AI with a supportive culture.
- Benefits: Enjoy flexible work options, continuous learning, and a collaborative environment.
- Other info: Great opportunities for career growth in a dynamic team.
- Why this job: Make an impact in the exciting field of data engineering and AI.
- Qualifications: 5+ years in data engineering and strong problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
NTT DATA in Greater London is seeking a Snowflake Data Engineer to join their Data & AI practice. This role requires expertise in data engineering, ETL/ELT pipelines, and cloud-native platforms, particularly Snowflake.
Responsibilities include:
- Designing and maintaining secure data pipelines
- Collaborating with cross-functional teams to deliver innovative data solutions
Ideal candidates should have:
- 5+ years of experience in data engineering
- Strong problem-solving skills
- Relevant educational background
NTT DATA offers a supportive work environment with continuous learning opportunities and flexible work options.
Snowflake Data Engineer: Cloud Pipelines & AI Enablement employer: NTT DATA
Contact Detail:
NTT DATA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer: Cloud Pipelines & AI Enablement
✨Tip Number 1
Network like a pro! Reach out to current or former employees at NTT DATA on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data engineering projects, especially those involving Snowflake. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on ETL/ELT concepts and cloud-native platforms. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress and stay updated on any new opportunities at NTT DATA.
We think you need these skills to ace Snowflake Data Engineer: Cloud Pipelines & AI Enablement
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and Snowflake specifically. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our Data & AI practice. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for those strong problem-solving skills, so don’t hold back on sharing your success stories!
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 from us during the process!
How to prepare for a job interview at NTT DATA
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it integrates with ETL/ELT processes. Being able to discuss specific use cases or projects where you've implemented Snowflake will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and problem-solving abilities, which are crucial for this role.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Share examples of how you've worked with different departments to deliver data solutions, highlighting your communication skills and teamwork.
✨Embrace Continuous Learning
NTT DATA values continuous learning, so show your enthusiasm for professional development. Mention any recent courses, certifications, or projects that have helped you grow in the field of data engineering. This will reflect your commitment to staying updated with industry trends and technologies.