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- Tasks: Design and build data pipelines using AWS tools like S3 and Snowflake.
- Company: Join a forward-thinking company transforming legacy systems in the insurance sector.
- Benefits: Enjoy hybrid work options and competitive pay, with £500-600 per day.
- Why this job: Be part of a crucial project that shapes the future of data architecture.
- Qualifications: 5+ years of AWS experience and proficiency in Snowflake required.
- Other info: This role is outside IR35, perfect for experienced data engineers.
The predicted salary is between 36000 - 60000 £ per year.
AWS Stack, data being landed in S3, Lambda triggers, Data Quality, data written back out to AWS S3 (Parquet Formats), Snowflake for dimensional model.
Design and build the data pipelines, work with someone around understanding data transformation, this is supported by BA's, building out the data pipelines, moving into layers in the data architecture (Medallion architecture).
Requirements:
- 5 plus years' experience with AWS
- 5-8 years overall exposure to Data
- Technical Lead experience
- Proficient in Snowflake, S3, Lambda Triggers
Hybrid London 1-2 days a week £500-600 (Outside IR35)
The reason they're hiring now, they have a client that is all on a legacy system, on-prem platform, and they want to build out their AWS platform. They want to do a High-level architecture design to take to the low-level design. The client operates in the insurance domain (Commercial Finance).
Please send me a copy of your CV if you meet every requirement and are interested to a.otoole@tenthrevolution.com
Senior AWS Data Engineer employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
a.otoole@tenthrevolution.com
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as S3 and Lambda. Having hands-on experience or projects that showcase your skills with these tools will give you a significant edge during discussions.
✨Tip Number 2
Understand the Medallion architecture and be prepared to discuss how you've implemented or worked with data pipelines in previous roles. This will demonstrate your ability to design and build effective data solutions.
✨Tip Number 3
Since the role involves working closely with Business Analysts, brush up on your communication skills. Be ready to explain complex technical concepts in simple terms, showcasing your ability to collaborate effectively.
✨Tip Number 4
Research the insurance domain, particularly commercial finance, to understand the challenges and opportunities within this sector. This knowledge can help you tailor your conversations and show your genuine interest in the client's needs.
We think you need these skills to ace Senior AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Snowflake, and data engineering. Emphasise your technical lead experience and any relevant projects that showcase your skills in building data pipelines and working with S3 and Lambda.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job description. Mention your 5+ years of experience with AWS and how you've successfully designed and built data pipelines in previous roles. Show enthusiasm for the opportunity to work in the insurance domain.
Highlight Relevant Projects: In your application, include specific examples of projects where you implemented Medallion architecture or worked on data transformation. This will demonstrate your hands-on experience and understanding of the requirements outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a Senior AWS Data Engineer role.
How to prepare for a job interview at Jefferson Frank
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS, especially with S3 and Lambda triggers. Be prepared to discuss specific projects where you've implemented these technologies and how they contributed to the overall data architecture.
✨Demonstrate Data Pipeline Design Skills
Be ready to explain your approach to designing and building data pipelines. Discuss your understanding of data transformation processes and how you have worked with Business Analysts to ensure data quality and integrity in previous roles.
✨Familiarise Yourself with Medallion Architecture
Since the role involves working with a Medallion architecture, brush up on this concept. Be prepared to discuss how you would implement it in practice, including the different layers and their purposes in the data flow.
✨Prepare for Technical Leadership Questions
As a technical lead, you'll need to demonstrate your leadership skills. Think of examples where you've guided a team or made critical decisions in a project. Be ready to discuss how you handle challenges and mentor junior team members.
