Data Tech – Senior

Job details

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Job description

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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Preferably an education at degree level (MSc, BSc, or an equivalent professional qualification) in Business Administration, IT, Computer Science, Engineering or related disciplines At least 7+ years of IT experience, out of which minimum 5 years of data and analytics experience across multiple projects. Deploying and managing Microsoft Azure technologies (Azure Data Factory, Databricks, Azure SQL DB, Azure SQL DW, Azure Data Lake, Analysis Services, Cosmos DB). Experience implementing Azure Data Factory Pipelines using latest technologies and techniques Should have participated in atleast two end to end implementation of DWH projects. Understand business requirement and actively provide inputs from ETL perspective Understand the underlying data and flow of data Designing and developing real-time analytics on multiplestreams of data. Logging, monitoring, analytics for operational reporting using Power BI and compliance tools Creating data driven workflows in the Cloud to orchestrate / automate data movement and data transformation. Connecting data sources using SaaS services, file shares,FTP and web services. Transforming and enriching data using compute services such as HDInsight Hadoop, Spark, Storage Blobs, Azure Batch. Spinning up clusters and rapid building in an ApacheSpark environment. Communicating with clients, leads and teams. Grooming and guiding team members. Responsibilities, Qualifications, Certifications - External Preferably an education at degree level (MSc, BSc, or an equivalent professional qualification) in Business Administration, IT, Computer Science, Engineering or related disciplines At least 7+ years of IT experience, out of which minimum 5 years of data and analytics experience across multiple projects. Deploying and managing Microsoft Azure technologies (Azure Data Factory, Databricks, Azure SQL DB, Azure SQL DW, Azure Data Lake, Analysis Services, Cosmos DB). Experience implementing Azure Data Factory Pipelines using latest technologies and techniques Should have participated in atleast two end to end implementation of DWH projects. Understand business requirement and actively provide inputs from ETL perspective Understand the underlying data and flow of data Designing and developing real-time analytics on multiplestreams of data. Logging, monitoring, analytics for operational reporting using Power BI and compliance tools Creating data driven workflows in the Cloud to orchestrate / automate data movement and data transformation. Connecting data sources using SaaS services, file shares,FTP and web services. Transforming and enriching data using compute services such as HDInsight Hadoop, Spark, Storage Blobs, Azure Batch. Spinning up clusters and rapid building in an ApacheSpark environment. Communicating with clients, leads and teams. Grooming and guiding team members. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.