Data Engineering Developer

You'll have the chance to build a career as unique as you are at EY, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are essential to help EY become even better. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all. **Role Overview:** As a Data Engineering Developer at EY, you will be responsible for developing and maintaining data pipelines and workflows using Azure Synapse Analytics and other related technologies. Your role will involve working on data warehouse and data lake development, handling various data sources, and building automations for deployment. **Key Responsibilities:** - Hands-on experience in Azure Data Factory or Azure Synapse Analytics - Experience in data warehouse or data lake development - Proficiency in handling data in datastores such as Azure SQL, T-SQL, SQL DW - Working with various types of data sources like flat files, JSON, and databases - Building workflows and pipelines in Azure Synapse Analytics - Knowledge of Spark, Python, and data warehouse concepts - Experience in CI/CD and automating deployment processes - Strong analytical, interpersonal, and collaboration skills **Qualifications Required:** - 3-5 years of overall experience in data engineering - 3+ years of relevant experience in Azure Synapse Analytics with PySpark, Azure Data Factory, ADLS Gen2, SQL DW, and T-SQL - Good to have experience with Azure Databricks, Microsoft Fabric & One Lake, SSIS, and ADO At EY, you will contribute to building a better working world by leveraging data and technology to provide trust through assurance and help clients grow, transform, and operate. Working across various domains, EY teams aim to find new answers to complex issues facing the world today.,