At a Glance
- Tasks: Design and optimise data pipelines using AWS services and Python/PySpark.
- Company: Join NTT America, a leader in Data & AI innovation.
- Benefits: Continuous development opportunities and a diverse work environment.
- Other info: Exciting career growth in a dynamic tech landscape.
- Why this job: Make an impact by delivering scalable data solutions in a collaborative team.
- Qualifications: Expertise in AWS, Python/PySpark, and SQL required.
The predicted salary is between 60000 - 80000 € per year.
NTT America, Inc. is looking for a Lead Data Engineer – AWS to enhance our Data & AI practice. The successful candidate will have expertise in data engineering, focusing on AWS-based data ecosystems, and will be responsible for designing and optimising data pipelines.
Applicants should possess strong skills in AWS services, Python/PySpark, and SQL. The role emphasizes collaboration with architects and engineers to deliver scalable data solutions. We offer opportunities for continuous development and a commitment to diversity in the workforce.
Senior AWS Data Engineer: Scalable Pipelines & Lakehouse in London employer: NTT America, Inc.
At NTT America, Inc., we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in a dynamic environment, we offer continuous development opportunities, a commitment to diversity, and the chance to work with cutting-edge AWS technologies, making it a rewarding place for those passionate about data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AWS Data Engineer: Scalable Pipelines & Lakehouse in London
✨Tip Number 1
Network like a pro! Reach out to current employees at NTT America, Inc. on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AWS projects, data pipelines, and any cool stuff you've built with Python or SQL. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your AWS services knowledge and coding skills. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! We want to see your application directly, so make sure to submit it through the NTT America, Inc. careers page. It shows you're genuinely interested and helps us keep track of your application.
We think you need these skills to ace Senior AWS Data Engineer: Scalable Pipelines & Lakehouse in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, Python/PySpark, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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. Let us know what excites you about working with scalable data solutions.
Showcase Collaboration Skills:Since this role involves working closely with architects and engineers, highlight any teamwork experiences in your application. We love seeing examples of how you’ve collaborated on projects to deliver successful outcomes.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at NTT America, Inc.
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services, especially those relevant to data engineering. Be prepared to discuss how you've used these services in past projects and how they can be applied to create scalable data solutions.
✨Showcase Your Python and SQL Skills
Since the role requires strong skills in Python/PySpark and SQL, come ready with examples of how you've used these languages to design and optimise data pipelines. You might even want to prepare a mini-case study to demonstrate your problem-solving abilities.
✨Collaboration is Key
This position emphasises working with architects and engineers, so be ready to talk about your experience in collaborative environments. Share specific examples of how you've worked with cross-functional teams to deliver successful data projects.
✨Embrace Continuous Learning
NTT America values continuous development, so highlight any recent courses or certifications you've completed related to data engineering or AWS. This shows your commitment to staying updated in the field and your eagerness to grow within the company.
