Risk Consulting - Digital Risk - Senior - Data engineer

As an Azure Data Engineer at EY, you will be part of a globally connected powerhouse of diverse teams, where you will have the opportunity to shape your future with confidence. EY is a leading global professional services firm that offers a broad range of services in assurance, tax, transaction, and advisory services. Your role will be crucial in contributing to the betterment of the working world by leveraging your expertise in technology and data engineering. **Key Responsibilities:** - Develop and deploy Azure Databricks in a cloud environment using Azure Cloud services. - Design, develop, and deploy ETL processes in Azure Data Factory. - Collaborate with Onshore teams, understand their business goals, and contribute to the delivery of workstreams. - Design and optimize model codes to ensure faster execution. **Skills And Attributes For Success:** - 4 to 7 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions. - Extensive hands-on experience in implementing data migration and processing using Azure services such as Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, and Cosmo Db. - Proficiency in Spark and programming languages like Python or Scala. - Strong knowledge of DevOps and CI/CD deployments. - Hands-on experience in SQL and procedural SQL languages. - Strong analytical skills with a passion for solving complex technical problems. **Qualification Required:** - Working experience in an Agile-based delivery methodology is preferable. - Proactive and self-motivated working style with a strong sense of ownership in problem resolution. - Excellent debugging and optimization skills. - Experience in enterprise-grade solution implementations and transforming business challenges into technical solutions considering security, performance, and scalability factors. - Excellent communication skills, both written and verbal, for formal and informal settings. - Proficiency in all aspects of the solution delivery lifecycle, including analysis, design, development, testing, production deployment, and support. **Education:** - BS/MS degree in Computer Science, Engineering, or a related subject is required. EY is committed to providing equal opportunities to all candidates and encourages applications from individuals with diverse experiences and backgrounds. Join EY in building a better working world by leveraging data, AI, and advanced technology to shape the future with confidence and address the most pressing issues of today and tomorrow. With a globally connected network and ecosystem partners, EY teams operate in over 150 countries and territories to deliver a full spectrum of services in assurance, consulting, tax, strategy, and transactions.,