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- Tasks: Join our team as a Data Engineer and work on data lakes and pipelines.
- Company: We're a forward-thinking company based in London, focused on innovative data solutions.
- Benefits: Enjoy a permanent position with opportunities for growth and development.
- Why this job: Be part of a dynamic team that values your skills and creativity in data engineering.
- Qualifications: Experience with Glue, Athena, Terraform, RDS, and Lambda is essential.
- Other info: This role is perfect for tech-savvy individuals passionate about data.
The predicted salary is between 43200 - 72000 £ per year.
Job Title: Data Engineer Job Location: London , UK
Job Type: Permanent
Job Description:
We are looking for Data Engineer with these Skills:
1.Glue
2.Athena
3.Terraform
4.RDS
5.Lambda
6.Knowledge on data is important as the work is on data lake and data pipeline service
Regards,
sivaranjani
Senior Engineer, Data Engineering employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Make sure to showcase your hands-on experience with AWS Glue and Athena in your conversations. These tools are crucial for the role, and demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with Terraform and how it integrates with data engineering workflows. Being able to discuss infrastructure as code will show that you understand modern data engineering practices.
✨Tip Number 3
Prepare to discuss your experience with RDS and Lambda functions. Highlight specific projects where you've utilized these technologies to solve data-related challenges.
✨Tip Number 4
Stay updated on best practices for data lakes and data pipelines. Being knowledgeable about current trends and challenges in data engineering will demonstrate your commitment to the field.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Data Engineer. Familiarize yourself with the specific technologies mentioned, such as Glue, Athena, Terraform, RDS, and Lambda.
Tailor Your CV: Highlight your experience with data engineering and the specific tools listed in the job description. Use relevant keywords to ensure your CV stands out to recruiters.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with the company's needs. Mention any relevant projects or experiences that demonstrate your expertise in data lakes and pipelines.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Glue, Athena, Terraform, RDS, and Lambda. Have specific examples ready that demonstrate how you've used these tools in past projects.
✨Understand Data Lakes and Pipelines
Since the role focuses on data lake and data pipeline services, make sure you can explain these concepts clearly. Discuss any relevant projects where you've implemented or worked with these technologies.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when tackling data engineering challenges, as this will show your analytical abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the team you'll be working with. This shows your interest in the role and helps you gauge if it's the right fit for you.
