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- Tasks: Lead the design and development of enterprise-grade data pipelines and analytics solutions.
- Company: Global leader in digital services with a focus on innovation.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of data analytics.
- Qualifications: Experience with Microsoft Fabric and strong skills in PySpark, SQL, and Python.
- Other info: Exciting role in a dynamic environment with great career prospects.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in digital services is seeking an Azure & Microsoft Fabric Lead Developer in Leeds. The successful candidate will lead the design and development of enterprise-grade data pipelines and analytics solutions using Azure Data Services.
The role offers competitive compensation, including bonuses, and requires proven experience with Microsoft Fabric and strong programming skills in PySpark, SQL, and Python.
Azure Data Architect & Fabric Lead — Scalable Analytics Pipelines in Leeds employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Architect & Fabric Lead — Scalable Analytics Pipelines in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the 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 land you that Azure Data Architect gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Azure Data Services and Microsoft Fabric. We recommend including projects that highlight your PySpark, SQL, and Python prowess. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to scalable analytics pipelines and be ready to discuss your past experiences. We suggest practising with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. We believe this small gesture can keep you fresh in the minds of hiring managers.
We think you need these skills to ace Azure Data Architect & Fabric Lead — Scalable Analytics Pipelines in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Services and Microsoft Fabric. We want to see how your skills in PySpark, SQL, and Python make you the perfect fit for this role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about scalable analytics pipelines and how your previous projects align with what we do at StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and develop enterprise-grade data solutions.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Infosys
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data Services and Microsoft Fabric. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Prepare to demonstrate your proficiency in PySpark, SQL, and Python. You might be asked to solve a coding problem or explain your thought process behind a previous project. Practising common coding challenges can really help you shine.
✨Understand the Business Impact
It's not just about the tech; understand how your work as an Azure Data Architect can drive business value. Be ready to discuss how your data pipelines and analytics solutions can improve decision-making and efficiency for the company.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
