At a Glance
- Tasks: Lead data migration projects and configure ingestion for Microsoft Fabric workloads.
- Company: Join a forward-thinking tech company focused on data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Other info: Dynamic team environment with great potential for career advancement.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: Experience with Azure technologies and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities:
- Ingestion configuration for new workloads in to Microsoft Fabric
- Lead execution of Fabric migration
- Lead and guide migration engineers and QA
- Write Python/PySpark and Spark SQL code for validation/curation in notebook
- Implement or amend worker pipelines
- Convert logical and conceptual data models into detailed technical data mappings
- Data migration, implementation and execution
- Azure DevOps/GitHub configurations for Microsoft Fabric code
Key skills and experience:
- Strong experience in designing and delivering Azure based data platform solutions technologies including: Microsoft Fabric, Power App, Azure SQL, Power BI, Azure ADF, Azure Functions Service
- Spark processing and performance tuning
- File formats partitioning for e.g. Delta Lake, Parquet, JSON, XML, CSV
- Azure DevOps/GitHub
- Hands on Python experience
- Experience of synchronous and asynchronous interface approaches
- Knowledge in data modeling (3NF/Dimensional modeling/Data Vault2)
- Able to provide comprehensive documentation
- Able to set and manage realistic expectations for timescales, costs, benefits and measures for success
Nice to have:
- Experience with integration and implementation of data cataloging tools, like Azure Purview and Collabra
- Experience in implementing and integrating visualization tools, like Power BI, Tableau, etc.
Microsoft Fabric Data Engineer employer: Cognizant
As a Microsoft Fabric Data Engineer, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. Our company offers competitive benefits, a supportive work culture, and opportunities to work with cutting-edge technologies in Azure, ensuring that you can develop your skills while contributing to impactful projects. Located in a vibrant area, we provide a unique blend of professional development and work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Microsoft Fabric Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Microsoft Fabric or Azure. Attend meetups, webinars, or even online forums to connect with potential employers and get insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, PySpark, and Spark SQL projects. This is your chance to demonstrate your hands-on experience and problem-solving abilities, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Azure DevOps and data migration strategies. Be ready to discuss your past experiences and how they relate to the responsibilities of a Microsoft Fabric Data Engineer.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better shot at landing that dream job. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Microsoft Fabric Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Microsoft Fabric Data Engineer role. Highlight your experience with Azure technologies and any relevant projects you've worked on. We want to see how your skills match up with what we're looking for!
Showcase Your Projects:Include specific examples of your work with Python, PySpark, and data migration. If you've led any projects or migrations, let us know! We love seeing real-world applications of your skills.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Cognizant
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and the Azure ecosystem. Brush up on your knowledge of Azure SQL, Power BI, and data migration techniques. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python and PySpark skills during the interview. You might be asked to solve a problem or write some code on the spot, so practice common coding challenges related to data processing and validation.
✨Understand Data Modelling
Familiarise yourself with different data modelling techniques like 3NF, Dimensional modelling, and Data Vault2. Be ready to explain how you’ve applied these concepts in past projects, as this will highlight your ability to convert logical models into technical mappings.
✨Communicate Clearly About Expectations
Be prepared to discuss how you set and manage expectations for project timelines and deliverables. Share examples of how you’ve successfully communicated with teams and stakeholders to ensure everyone is on the same page regarding costs and benefits.
