Job
Description
As a Senior Data Engineer in the EY GDS Data and Analytics (D&A) team, you will have the opportunity to leverage your strong technology and data understanding in the big data engineering space to design, develop, and manage data solutions using Microsoft Fabric. Your role will be crucial in implementing ETL/ELT processes, creating and maintaining data models, and collaborating with cross-functional teams to deliver data solutions that meet business needs. Additionally, you will play a key role in optimizing code for data processing and analysis, implementing DevOps practices, and monitoring data pipelines for reliability and performance. **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. **Qualifications Required:** - 5-10 years of experience in data warehousing, ETL/ELT processes, data modeling, and cloud-based technologies, particularly Azure and Fabric. - Strong background in building and managing data solutions within the Microsoft Fabric platform. - Proficiency in various programming languages. As an ideal candidate, you will have client management skills and a passion for learning new technologies in a fast-moving environment. At EY, you will have the opportunity to work on inspiring projects, receive support and coaching from engaging colleagues, develop new skills, and progress your career. You will be part of an interdisciplinary environment that emphasizes high quality, knowledge exchange, and individual progression planning. Plus, you will have the freedom and flexibility to handle your role in a way that suits you best. Join EY in building a better working world by shaping the future with confidence and developing solutions for pressing issues today and tomorrow. As a Senior Data Engineer in the EY GDS Data and Analytics (D&A) team, you will have the opportunity to leverage your strong technology and data understanding in the big data engineering space to design, develop, and manage data solutions using Microsoft Fabric. Your role will be crucial in implementing ETL/ELT processes, creating and maintaining data models, and collaborating with cross-functional teams to deliver data solutions that meet business needs. Additionally, you will play a key role in optimizing code for data processing and analysis, implementing DevOps practices, and monitoring data pipelines for reliability and performance. **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. **Qualifications Required:** - 5-10 years of experience in data warehousing, ETL/ELT processes, data modeling, and cloud-based technologies, particularly Azure and Fabric. - Strong background in building and managing data solutions within the Microsoft Fabric platform. - Proficiency in various programming languages. As an ideal candidate, you will have client management skills and a passion for learning new technologies in a fast-moving environment. At EY, you will have the opportunity to work on inspiring projects, receive support and coaching from engaging colleagues, develop new skills, and progress your career. You will be part of an interdisciplinary environment that emphasizes high quality, knowledge exchange, and individual progression planning. Plus, you will have the freedom and flexibility to handle your role in a way that suits you best. Join EY in building a better wor
