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- Tasks: Design and build data pipelines using AWS tools like S3 and Snowflake.
- Company: Join a leading firm transforming legacy systems in the insurance sector.
- Benefits: Enjoy hybrid work options and competitive pay of £500-600 per day.
- Why this job: Be part of a cutting-edge project that shapes the future of data architecture.
- Qualifications: 5+ years of AWS experience and proficiency in Snowflake required.
- Other info: Opportunity to lead technical projects and influence high-level architecture design.
The predicted salary is between 48000 - 72000 £ 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).
- 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 are 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.
Contact Detail:
Tenth Revolution Group Recruiting Team
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. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your technical expertise.
✨Tip Number 2
Brush up on your knowledge of data architecture, particularly the Medallion architecture. Be prepared to explain how you've implemented similar architectures in past projects, as this will show your ability to design effective data pipelines.
✨Tip Number 3
Since the role involves working closely with Business Analysts, think about examples where you've collaborated with cross-functional teams. Highlighting your teamwork skills can set you apart from other candidates.
✨Tip Number 4
Research the insurance domain and understand the challenges faced by companies transitioning from legacy systems to cloud platforms. This knowledge will help you engage in meaningful discussions during the interview and show your interest in the industry.
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 data transformation and worked with Medallion architecture. This will demonstrate your hands-on experience and understanding of the required technologies.
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 data engineering role.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services, especially S3 and Lambda. Be prepared to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Demonstrate Data Pipeline Knowledge
Since the role involves designing and building data pipelines, be ready to explain your approach to data transformation and architecture. Discuss your familiarity with Medallion architecture and how you've applied it in past projects.
✨Emphasise Leadership Experience
As a technical lead, it's crucial to convey your leadership skills. Share examples of how you've guided teams, collaborated with business analysts, and ensured data quality throughout the pipeline process.
✨Prepare for Domain-Specific Questions
Given that the client operates in the insurance domain, brush up on industry-specific data challenges and regulations. Being able to relate your technical skills to their business needs will set you apart from other candidates.
