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- Tasks: Join us as a Data Engineer to work on data lakes and pipelines.
- Company: We are a dynamic tech company based in London, UK.
- Benefits: Enjoy a permanent position with opportunities for growth.
- Why this job: Be part of an innovative team shaping the future of data management.
- Qualifications: Experience with Glue, Athena, Terraform, RDS, and Lambda is essential.
- Other info: This role is perfect for those passionate about data engineering.
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
Data Engineer employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with AWS Glue and Athena, as these are crucial for the role. Consider building a small project that utilizes these tools to showcase your practical experience.
✨Tip Number 2
Get hands-on experience with Terraform by creating infrastructure as code for a sample data pipeline. This will demonstrate your ability to manage cloud resources effectively.
✨Tip Number 3
Brush up on your knowledge of RDS and Lambda functions. Understanding how to integrate these services into a data pipeline will be key in your discussions during the interview.
✨Tip Number 4
Stay updated on best practices for data lakes and pipelines. Being able to discuss current trends and challenges in data engineering will set you apart from other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Data Engineer. Familiarize yourself with tools like Glue, Athena, Terraform, RDS, and Lambda, as these are crucial for the position.
Tailor Your CV: Customize your CV to highlight your experience with data lakes and data pipeline services. Include specific projects or roles where you've utilized the required skills.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in data engineering with the job description. Emphasize your knowledge of the technologies mentioned and how they relate to the company's needs.
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
Make sure to highlight your experience with Glue, Athena, Terraform, RDS, and Lambda during the interview. Be prepared to discuss specific projects where you utilized these technologies and how they contributed to the success of your data engineering tasks.
✨Demonstrate Your Understanding of Data Lakes
Since the role involves working on data lakes and data pipelines, be ready to explain your knowledge of these concepts. Discuss how you have designed or managed data lakes in the past and the challenges you faced.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about how you would approach building a data pipeline or optimizing a data lake, and be ready to articulate your thought process.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's data strategy and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
