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For Companies At a Glance
- Tasks: Analyse and transform data from legacy systems to a new LIMS system in AWS.
- 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 improving data quality and transformation processes.
- Qualifications: Proficiency in AWS services and experience with data migration tools required.
- Other info: 10-month contract with potential for career advancement in a dynamic environment.
The predicted salary is between 50000 - 85000 £ per year.
Overview
The Data Analyst / Data Mapper, operating within the AWS environment, is responsible for analysing, transforming, and mapping data from legacy systems to the new LIMS system.
Contract details: 10 months • London - hybrid • £610 per day inside IR35 - Umbrella only • Hold active or eligible for SC security clearance
Key Responsibilities
- Collaborate with data engineers, data scientists, and business stakeholders to understand data sources, data quality, and data transformation requirements.
- Perform data profiling and data quality assessments on legacy data, identifying data issues, inconsistencies, and gaps.
- Develop and maintain data mapping, transformation rules, and 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 UK
Contact Detail:
Experis UK 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 dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data mapping and AWS. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with examples of your work in data transformation and AWS projects. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
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 speaks directly to the role of Application Architect. Highlight your experience with AWS services and data migration tools, as these are key for us.
Showcase Relevant Projects: Include specific projects where you've collaborated with data engineers or worked on data mapping. We love seeing real examples of how you've tackled similar challenges!
Be Clear and Concise: When writing your cover letter, get straight to the point. We appreciate clarity, so outline your skills and experiences that align with the job description without fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.
How to prepare for a job interview at Experis UK
✨Know Your AWS Inside Out
Make sure you brush up on your AWS services knowledge. Be ready to discuss how you've used specific AWS tools in past projects, especially in relation to data migration and cloud architecture. This will show that you’re not just familiar with the platform but can leverage it effectively.
✨Showcase Your Data Mapping Skills
Prepare examples of how you've developed data mapping and transformation rules in previous roles. Highlight any experience with data profiling and quality assessments, as this is crucial for the role. Use real-life scenarios to demonstrate your problem-solving skills.
✨Collaboration is Key
Since the role involves working with data engineers, scientists, and business stakeholders, be ready to talk about your collaborative experiences. Share specific instances where you successfully worked in a team to tackle data issues or improve data quality.
✨Security Awareness Matters
Given the need for SC security clearance, be prepared to discuss your understanding of security and compliance within the AWS environment. Familiarise yourself with AWS-specific security practices and be ready to explain how you’ve implemented them in your work.
