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 that aims to shape a better working world. Your main responsibilities will include: - Developing and deploying Azure Databricks in a cloud environment using Azure Cloud services. - Designing, developing, and deploying ETL processes in Azure Data Factory. - Collaborating with Onshore teams to understand their business goals and contribute to workstream delivery. - Designing and optimizing model codes to ensure faster execution. To be successful in this role, you should possess the following skills and attributes: - 4 to 7 years of experience in developing data ingestion, data processing, and analytical pipelines for various types of data solutions. - Hands-on experience with Azure services such as Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, Cosmo Db, etc. - Proficiency in Spark and programming languages like Python/Scala. - Familiarity with DevOps and CI/CD deployments. - Strong SQL and procedural SQL language skills. - Excellent analytical skills with a passion for solving complex technical problems. To qualify for this role, you are required to have: - Experience working in an Agile delivery methodology (Preferable). - Proactive and self-motivated working style with a strong sense of personal ownership. - Excellent debugging and optimization skills. - Experience in implementing enterprise-grade solutions with a focus on security, performance, and scalability. - Strong communication skills, both written and verbal, formal and informal. - Involvement in all stages of the solution delivery life cycle, from analysis to production deployment and support. - Client management skills. Education requirements for this role include a BS/MS degree in Computer Science, Engineering, or a related subject. EY is dedicated to providing equal opportunities to all candidates and encourages applications from individuals with diverse backgrounds and experiences. As an Azure Data Engineer at EY, you will be part of a globally connected powerhouse of diverse teams that aims to shape a better working world. Your main responsibilities will include: - Developing and deploying Azure Databricks in a cloud environment using Azure Cloud services. - Designing, developing, and deploying ETL processes in Azure Data Factory. - Collaborating with Onshore teams to understand their business goals and contribute to workstream delivery. - Designing and optimizing model codes to ensure faster execution. To be successful in this role, you should possess the following skills and attributes: - 4 to 7 years of experience in developing data ingestion, data processing, and analytical pipelines for various types of data solutions. - Hands-on experience with Azure services such as Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, Cosmo Db, etc. - Proficiency in Spark and programming languages like Python/Scala. - Familiarity with DevOps and CI/CD deployments. - Strong SQL and procedural SQL language skills. - Excellent analytical skills with a passion for solving complex technical problems. To qualify for this role, you are required to have: - Experience working in an Agile delivery methodology (Preferable). - Proactive and self-motivated working style with a strong sense of personal ownership. - Excellent debugging and optimization skills. - Experience in implementing enterprise-grade solutions with a focus on security, performance, and scalability. - Strong communication skills, both written and verbal, formal and informal. - Involvement in all stages of the solution delivery life cycle, from analysis to production deployment and support. - Client management skills. Education requirements for this role include a BS/MS degree in Computer Science, Engineering, or a related subject. EY is dedicated to providing equal opportunities to all candidates and encourages applications from individuals with diverse backgrounds and experiences.