Senior Data Engineer

Role Overview: At EY, you have the opportunity to build a unique career with global support and an inclusive culture. Your voice and perspective are valued to contribute to EY's continuous improvement. Join us in creating an exceptional experience for yourself and fostering a better working world for all. Key Responsibilities: - Design and implement modern data architectures using Azure Data Lake, Azure Synapse, Databricks, and Azure Data Factory. - Develop scalable and efficient ETL/ELT pipelines for structured and unstructured data. - Lead the creation of enterprise data models, data catalogs, and governance frameworks. - Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and quality. - Implement CI/CD for data pipelines using Azure DevOps, GitHub Actions, or similar tools. - Drive best practices in data engineering, data security, and cloud cost optimization. - Lead and mentor a team of data engineers, providing technical direction and code reviews. - Monitor, troubleshoot, and optimize data pipelines and jobs in production environments. Qualifications Required: - 7+ years of experience in data engineering with at least 1+ years in a leadership role. - Strong expertise in Azure Data Platform: Data Factory, Data Lake Gen2, Synapse, Databricks, and Azure SQL/SQL MI. - Proficiency in PySpark, SQL, and scripting languages (Python, Scala). - Experience with Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers). - Solid understanding of data warehousing, data modeling, and data quality frameworks. - Strong DevOps mindset with experience in CI/CD, Terraform, and Git-based development. - Excellent problem-solving, communication, and team leadership skills. - Bachelors degree in computer science, Information Technology, Data Engineering, or a related field. Additional Company Details: EY is a global leader in assurance, tax, transaction, and advisory services, with technology integrated into client services. With a significant investment in technology and innovation, EY is well-positioned to guide clients in driving sustainable growth and creating new value. As part of Enterprise Technology, you will have opportunities for growth, learning, career development, and making a real impact on the organization. Note: Preferred qualifications and benefits are not included in the extracted job description. Role Overview: At EY, you have the opportunity to build a unique career with global support and an inclusive culture. Your voice and perspective are valued to contribute to EY's continuous improvement. Join us in creating an exceptional experience for yourself and fostering a better working world for all. Key Responsibilities: - Design and implement modern data architectures using Azure Data Lake, Azure Synapse, Databricks, and Azure Data Factory. - Develop scalable and efficient ETL/ELT pipelines for structured and unstructured data. - Lead the creation of enterprise data models, data catalogs, and governance frameworks. - Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and quality. - Implement CI/CD for data pipelines using Azure DevOps, GitHub Actions, or similar tools. - Drive best practices in data engineering, data security, and cloud cost optimization. - Lead and mentor a team of data engineers, providing technical direction and code reviews. - Monitor, troubleshoot, and optimize data pipelines and jobs in production environments. Qualifications Required: - 7+ years of experience in data engineering with at least 1+ years in a leadership role. - Strong expertise in Azure Data Platform: Data Factory, Data Lake Gen2, Synapse, Databricks, and Azure SQL/SQL MI. - Proficiency in PySpark, SQL, and scripting languages (Python, Scala). - Experience with Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers). - Solid understanding of data warehousing, data modeling, and data quality frameworks. - Strong DevOps mindset with experience in CI/CD, Terraform, and Git-based development. - Excellent problem-solving, communication, and team leadership skills. - Bachelors degree in computer science, Information Technology, Data Engineering, or a related field. Additional Company Details: EY is a global leader in assurance, tax, transaction, and advisory services, with technology integrated into client services. With a significant investment in technology and innovation, EY is well-positioned to guide clients in driving sustainable growth and creating new value. As part of Enterprise Technology, you will have opportunities for growth, learning, career development, and making a real impact on the organization. Note: Preferred qualifications and benefits are not included in the extracted job description.