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- Tasks: Design and implement data models for AWS Cloud Data Warehouse in a collaborative Agile environment.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Flexible work arrangements, competitive pay, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and development.
- Why this job: Make an impact in the banking domain while working with cutting-edge cloud technologies.
- Qualifications: 8+ years of data modeling experience, especially in banking and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Location: Northampton, UK
Work Mode: Hybrid - 3 Days Onsite
Job Type: Contract - 6 months
Minimum 8+ years of experience working as Data Modeler for AWS Cloud Data Warehouse.
Key Skills required:
- Must have Data Modeling Experience on Data Warehouse & Analytics solution
- ER Studio
- Cloud experience preferred
- Strong Data Modeling Experience in Banking Domain
- Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka
• Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.
• Understand project requirements and translate them into technical solutions which meet the project quality standards.
• Ability to work in a team in a diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
• Strong problem solving and good analytical skills.
• Excellent verbal and written communication skills.
• Experience and desire to work in a global delivery environment.
• Stay up to date with new technologies and industry trends in development.
Fully Remote Data employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fully Remote Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling and banking domain. Attend meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, especially those involving AWS and cloud technologies. This will give you an edge when chatting with recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and your problem-solving skills. Be ready to discuss how you've tackled data issues in past projects, as this is key for roles in diverse environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Fully Remote Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Modeler, especially with AWS Cloud Data Warehouses. 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 role. Mention your experience in the banking domain and any cloud technologies you’ve worked with, like Snowflake or Redshift.
Show Off Your Agile Experience: Since we work in an Agile environment, it’s important to mention your experience with scrum practices. Talk about your participation in daily standups and how you’ve contributed to sprint planning and retrospectives.
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 updates regarding your application status!
How to prepare for a job interview at N Consulting Global
✨Know Your Data Inside Out
Make sure you brush up on your data modelling experience, especially in the banking domain. Be ready to discuss specific projects where you've used tools like ER Studio and cloud technologies such as Snowflake or Redshift. This will show that you not only have the skills but also the practical experience to back them up.
✨Showcase Your Agile Experience
Since the role involves working in an Agile environment, be prepared to talk about your experience with scrum practices. Share examples of how you've participated in daily standups, sprint planning, and retrospectives. This will demonstrate your ability to work collaboratively and adaptively within a team.
✨Communicate Clearly and Confidently
Strong verbal and written communication skills are crucial for this role. Practice explaining complex data concepts in simple terms, as you may need to collaborate with various stakeholders. Clear communication can set you apart from other candidates, so don’t underestimate its importance.
✨Stay Updated on Industry Trends
Show your enthusiasm for the field by discussing recent trends or technologies in data modelling and cloud solutions. Mention any relevant courses or certifications you've pursued recently. This not only highlights your commitment to professional growth but also your proactive approach to staying current in a fast-evolving industry.