Data Engineer

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. As a Staff - Data Engineer at EY, your responsibilities include designing and developing software components using various tools such as PySpark, Sqoop, Flume, Azure Databricks, and more. You will perform detailed analysis and effectively interact with onshore/offshore team members, ensuring all deliverables conform to the highest quality standards and are executed in a timely manner. This role is deadline-oriented and may require working under the US time schedule. Additionally, you will identify areas of improvement, conduct performance tests, consult with the design team, ensure high performance of applications, and work well with development/product engineering teams. To be successful in this role, you should have 2-4 years of experience in BCM or WAM industry, preferably with exposure to US-based asset management or fund administration firms. You should have a strong understanding of data in BCM/WAM space, including knowledge of KDEs such as Funds, Positions, Transactions, Trail Balance, Securities, Investors, and more. Proficiency in programming languages like Python, hands-on experience with Big Data tools such as PySpark, Sqoop, Hive, and Hadoop Cluster, as well as Cloud technologies like Azure Databricks are essential. Expertise in databases like Oracle, SQL Server, and exposure to Big Data is a plus. Knowledge of Data Visualization tools and the ability to write programs for file/data validations, EDA, and data cleansing are also desired. As an ideal candidate, you should be highly data-driven, capable of writing complex data transformation programs using PySpark and Python, and have experience in data integration and processing using Spark. Hands-on experience in creating real-time data streaming solutions using Spark Streaming and Flume, as well as handling large datasets and writing Spark jobs and hive queries for data analysis, are valuable assets. Experience working in an agile environment will be beneficial for this role. Join EY in building a better working world, where diverse teams across assurance, consulting, law, strategy, tax, and transactions help clients grow, transform, and operate. EY aims to create long-term value for clients, people, and society, while building trust in the capital markets through data and technology-enabled solutions worldwide.,