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- Tasks: Analyse and transform data in the AWS environment for a new LIMS system.
- Company: Join a forward-thinking tech company in London with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring secure and efficient data transfer.
- Qualifications: Proficiency in AWS services and strong analytical skills required.
- Other info: Collaborate with a dynamic team of data engineers and scientists.
The predicted salary is between 50000 - 85000 £ per year.
10 months London - hybrid £610 per day inside IR35 - Umbrella only
Hold active or eligible for SC security clearance
Role overview:
The Data Analyst / Data Mapper, operating within the AWS environment, is responsible for analysing, transforming, & mapping data from legacy systems to the new LIMS system. This role demands strong analytical, technical, & AWS proficiency skills to ensure accurate, efficient, & secure data transfer.
Key Responsibilities:
- Collaborate with data engineers, data scientists, & business stakeholders to understand data sources, data quality, & data transformation requirements.
- Perform data profiling & data quality assessments on legacy data, identifying data issues, inconsistencies & gaps.
- Develop & maintain data mapping, transformation rules, & data cleansing procedures tailored for the AWS environment.
Required skills:
- AWS Services Proficiency.
- Cloud Architecture.
- Data Migration Tools.
- Infrastructure as Code (IaC).
- Security and Compliance (AWS-specific).
- Monitoring and Logging (AWS-specific).
- Networking (AWS-specific).
- Automation and Orchestration (AWS-specific).
Application Architect in City of London employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Application Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Application Architect gig.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your AWS proficiency and data mapping expertise. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with data migration tools and cloud architecture. We want you to feel confident and ready to impress!
✨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 are proactive about their job search!
We think you need these skills to ace Application Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS proficiency and experience with data migration tools. We want to see how your skills match the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Application Architect role. Share specific examples of your work with data mapping and transformation in AWS.
Showcase Your Analytical Skills: Since this role involves a lot of data profiling and quality assessments, make sure to mention any relevant experiences where you've tackled data issues or inconsistencies. We love seeing problem solvers!
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Experis
✨Know Your AWS Inside Out
Make sure you brush up on your AWS skills before the interview. Familiarise yourself with the specific services mentioned in the job description, like data migration tools and security compliance. Being able to discuss how you've used these services in past projects will show you're not just familiar but proficient.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical abilities, especially in data profiling and quality assessments. Think of specific instances where you identified data issues or gaps and how you resolved them. This will demonstrate your problem-solving skills and attention to detail.
✨Collaboration is Key
Since the role involves working with data engineers, scientists, and stakeholders, be ready to discuss your experience in collaborative environments. Share stories about how you’ve successfully worked with cross-functional teams to achieve common goals, particularly in data transformation projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and their current challenges. This shows your genuine interest in the role and helps you understand if the company is the right fit for you. Plus, it gives you a chance to demonstrate your knowledge about cloud architecture and infrastructure as code.
