Data Engineer - Microsoft Fabric Platform

EY - GDS Consulting - AI and DATA - MS Fabric DE - Staff

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

Job Title: EY - GDS Consulting - AI And DATA - Microsoft Fabric - Staff

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

 

Job Summary:

We are looking for a Data Engineer with 1-3 years of experience in data warehousing, ETL/ELT processes, data modeling, and cloud-based technologies, particularly Azure and Fabric. The ideal candidate will have a strong background in building and managing data solutions within the Microsoft Fabric platform and will be proficient in various programming languages.

 

Key Responsibilities:

• Design, develop, and manage data solutions using Microsoft Fabric, including Lakehouse, Data Engineering, Pipelines, Spark, Notebooks, and KQL Database.
• Implement ETL/ELT processes to ensure efficient data integration and transformation.
• Create and maintain data models to support business intelligence and analytics initiatives.
• Utilize Azure data storage services (e.g., Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage) for effective data management.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
• Write and optimize code in SQL, Python, PySpark, and Scala for data processing and analysis.
• Implement DevOps practices and CI/CD pipelines for seamless data deployment and version control.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Communicate effectively with diverse teams to foster collaboration and knowledge sharing.

 

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

Experience Level

Senior Level