At a Glance
- Tasks: Design and build data migration pipelines for cloud environments using AWS.
- Company: Join NTT America, a leader in Data & AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Be at the forefront of cloud technology and make a real difference in data management.
- Qualifications: Experience with AWS, Python, and SQL; strong collaboration skills required.
The predicted salary is between 60000 - 80000 € per year.
NTT America, Inc. is seeking a Data Migration Engineer to join their Data & AI practice in Greater London. This role involves designing, building, and validating data migration pipelines to facilitate the transition of data from legacy systems to modern cloud environments, specifically focusing on AWS.
The successful candidate will work closely with architects and engineers, leveraging tools such as AWS Glue, Python, and SQL to ensure data integrity and performance during migrations. A commitment to collaboration and adherence to best practices in data management is essential.
Cloud Data Migration Engineer: AWS Lakehouse & ETL employer: NTT America, Inc.
NTT America, Inc. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. Employees benefit from continuous professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal environment for those looking to grow their careers in cloud data migration. With access to cutting-edge technology and a focus on best practices, team members are empowered to make meaningful contributions while enjoying the vibrant atmosphere of one of the world's leading tech hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Migration Engineer: AWS Lakehouse & ETL
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data migration projects, especially those involving AWS Glue, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to cloud data migration and best practices. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Cloud Data Migration Engineer: AWS Lakehouse & ETL
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, ETL processes, and any relevant tools like Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data migration and how your background makes you a perfect fit for our team. Let us know what excites you about working with AWS Lakehouse.
Showcase Collaboration Skills:Since this role involves working closely with architects and engineers, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those 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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 AWS Glue and Lakehouse architecture. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL Expertise
Prepare to talk about your experience with ETL processes. Have specific examples ready that demonstrate your ability to design and build data migration pipelines. Highlight any performance improvements or data integrity measures you've implemented in previous roles.
✨Collaboration is Key
Since this role involves working closely with architects and engineers, be prepared to discuss your teamwork skills. Share examples of successful collaborations and how you’ve contributed to a team’s success in data management projects.
✨Practice Problem-Solving Scenarios
Expect technical questions that test your problem-solving abilities. Practice explaining your thought process when tackling data migration challenges. This will show your analytical skills and commitment to best practices in data management.
