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For Companies At a Glance
- Tasks: Design and manage DynamoDB tables, create dashboards with AWS QuickSight, and handle data ELT.
- Company: Global consulting firm making waves in the BioTech/Pharma sector.
- Benefits: Flexible day rate, fully remote work, and a 6-month contract.
- Other info: Great opportunity for career growth in a thriving field.
- Why this job: Join a cutting-edge project and enhance your skills in a dynamic industry.
- Qualifications: Experience with DynamoDB, Python, AWS services, and NoSQL databases required.
Our client are a global consulting firm, they are working on a project in the BioTech/Pharma space and are on the lookout for a Data Engineer to come in on a contract basis.
Key Skills/Requirements:
- Strong experience with DynamoDB table design, GSIs, capacity planning, and Streams
- Python, with pandas, boto3 or similar libraries for ELT
- Strong AWS Services experience
- AWS QuickSight experience for dashboard design
- NoSQL experience
Contract is running for 6 months initially, paying flexible day rate (Inside IR35 via Umbrella) and will be fully remote in the UK.
Data Engineer (DynamoDB & QuickSight) employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (DynamoDB & QuickSight)
✨Tip Number 1
Network like a pro! Reach out to your connections in the BioTech/Pharma space and let them know you're on the hunt for a Data Engineer role. You never know who might have the inside scoop on opportunities.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your DynamoDB designs, Python projects, and any AWS QuickSight dashboards you've created. This will give potential employers a taste of what you can do.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge around NoSQL databases and AWS services. Be ready to discuss your experience with capacity planning and ELT processes using Python libraries like pandas and boto3.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, we’re here to support you every step of the way in landing that contract position.
We think you need these skills to ace Data Engineer (DynamoDB & QuickSight)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with DynamoDB, Python, and AWS services. We want to see how your skills match the job description, 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 this Data Engineer role. Mention your experience with NoSQL and dashboard design in QuickSight to grab our attention.
Showcase Your Projects: If you've worked on any relevant projects, especially in the BioTech/Pharma space, make sure to include them. We love seeing real-world applications of your skills, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at RevTech
✨Know Your DynamoDB Inside Out
Make sure you brush up on your DynamoDB skills, especially table design, GSIs, and capacity planning. Be ready to discuss specific projects where you've implemented these features, as this will show your practical experience.
✨Show Off Your Python Skills
Prepare to talk about your experience with Python, particularly with libraries like pandas and boto3. Have examples ready that demonstrate how you've used these tools for ELT processes, as this will highlight your technical prowess.
✨Familiarise Yourself with AWS Services
Since strong AWS experience is a must, make sure you can discuss various AWS services you've worked with. Be prepared to explain how you've integrated these services into your data engineering workflows.
✨Get Creative with QuickSight
As you'll be working with AWS QuickSight for dashboard design, think of innovative ways you've used it in the past. Bring along examples of dashboards you've created, and be ready to discuss the impact they had on decision-making.