At a Glance
- Tasks: Lead migrations to Microsoft Fabric and design Azure data platform solutions.
- Company: Cognizant, a leader in tech innovation and data strategies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a collaborative environment with exciting career advancement opportunities.
- Why this job: Make a real impact on data strategies in a dynamic and growing team.
- Qualifications: Strong knowledge of Azure technologies and experience with Power BI.
The predicted salary is between 60000 - 80000 £ per year.
Cognizant is seeking an experienced professional to lead the migration to Microsoft Fabric and design Azure-based data platform solutions. The role involves data ingestion configuration, writing validation code in Python/PySpark, and managing technical data mappings.
The ideal candidate will have strong knowledge of Azure technologies, experience in integration and implementation of tools like Power BI, and documentation skills. This position offers a significant opportunity to impact data strategies in a growing team.
Azure Fabric Data Engineer: Migrations & Pipelines employer: Cognizant
Cognizant is an excellent employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to lead impactful projects in cutting-edge technologies like Microsoft Fabric. With a strong emphasis on professional development, team members are encouraged to grow their skills through continuous learning and mentorship, making it a rewarding environment for those looking to advance their careers in data engineering. Located in a vibrant tech hub, Cognizant offers unique advantages such as access to industry-leading resources and a diverse network of professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Fabric Data Engineer: Migrations & Pipelines
✨Tip Number 1
Network like a pro! Reach out to professionals in the Azure and data engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Azure Fabric, data migrations, and pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and PySpark skills. Be ready to discuss how you've tackled data ingestion and validation in past roles—real examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can make an impact on our data strategies. Your next big opportunity could be just a click away!
We think you need these skills to ace Azure Fabric Data Engineer: Migrations & Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure technologies and data migration. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Showcase Your Coding Skills:Since you'll be writing validation code in Python/PySpark, include examples of your coding prowess. We love seeing practical applications of your skills, so feel free to share links to your GitHub or any relevant projects.
Highlight Documentation Experience:Documentation is key in this role! Make sure to mention any experience you have in creating technical documentation or managing data mappings. We appreciate clarity and thoroughness in our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Cognizant
✨Know Your Azure Stuff
Make sure you brush up on your Azure technologies knowledge. Familiarise yourself with Microsoft Fabric, data ingestion processes, and how to configure them effectively. Being able to discuss specific Azure services and their applications will show that you're not just familiar but truly engaged with the technology.
✨Show Off Your Python Skills
Since you'll be writing validation code in Python/PySpark, it’s crucial to demonstrate your coding skills. Prepare to discuss past projects where you've used these languages, and maybe even solve a coding challenge during the interview. Practice common data manipulation tasks to showcase your proficiency.
✨Talk Integration and Implementation
Be ready to discuss your experience with tools like Power BI. Think of examples where you've integrated or implemented these tools in previous roles. Highlight any challenges you faced and how you overcame them, as this shows problem-solving skills and adaptability.
✨Documentation is Key
Don’t underestimate the importance of documentation skills. Be prepared to explain how you document your work, including data mappings and technical processes. Providing clear examples of your documentation practices can set you apart, showing that you value clarity and communication in your work.
